{"id":"W4315796957","doi":"10.3389/fmars.2022.1055557","title":"The American Lobster Settlement Index: History, lessons, and future of a long-term, transboundary monitoring collaborative","year":2023,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Fisheries and Oceans Canada; Veterans Affairs Canada; Guysborough County Inshore Fishermen's Association; Memorial University of Newfoundland; University of Prince Edward Island","funders":"National Marine Fisheries Service; Marine Environmental Observation Prediction and Response Network; National Oceanic and Atmospheric Administration; New Brunswick Innovation Foundation; U.S. Department of Agriculture; Natural Sciences and Engineering Research Council of Canada; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"American lobster; Context (archaeology); Fishery; Homarus; Resource (disambiguation); Abundance (ecology); Marine conservation; Settlement (finance); Benthic zone; Geography; Ecology; Environmental resource management; Biology; Environmental science; Business; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006960665,0.00009191917,0.0001493139,0.00009330944,0.0002431296,0.00001652489,0.000364852,0.0000297829,0.00006372427],"category_scores_gemma":[0.00002401954,0.00006946285,0.00001643734,0.0009013611,0.003745628,0.0001458799,0.0003931797,0.000133592,0.000008210489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853912,"about_ca_system_score_gemma":0.00006857363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004706481,"about_ca_topic_score_gemma":0.0001895907,"domain_scores_codex":[0.9989465,0.00005291903,0.0001588039,0.0003056683,0.00019666,0.0003394859],"domain_scores_gemma":[0.9996056,0.00004355841,0.00009669627,0.0001848272,0.00001111054,0.00005818557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000440321,0.00001110575,0.9024904,0.000003192336,0.000003771848,0.000009322512,0.0007523551,0.00002803541,0.0006807947,0.00002077165,0.002799432,0.09315673],"study_design_scores_gemma":[0.0001586944,0.00007094471,0.9867493,0.000003030215,0.000002967661,0.000002032537,0.00173365,0.0000918463,0.0001570665,0.0002291733,0.01072125,0.0000800222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959273,0.0001447633,0.00005492963,0.001631846,0.001378058,0.0001545073,0.000005193546,0.00001437777,0.0006890099],"genre_scores_gemma":[0.9969524,0.0009544462,0.00142707,0.0000665538,0.00003709129,0.00001892107,0.000002261724,0.000004922736,0.0005363703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09307671,"threshold_uncertainty_score":0.9989656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084140769075563,"score_gpt":0.2483204702319649,"score_spread":0.2399063933244086,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}