{"id":"W6893861396","doi":"10.5281/zenodo.5073961","title":"Orchesella cincta","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Identification (biology); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480353,0.0005435969,0.0001938871,0.001101989,0.001238027,0.0004162151,0.0004210885,0.000258271,0.01319063],"category_scores_gemma":[0.0003807828,0.000201082,0.0002563464,0.0006314032,0.0003066314,0.0005089166,0.001002781,0.000245505,0.003855633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006921527,"about_ca_system_score_gemma":0.0002831327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975956,"about_ca_topic_score_gemma":0.03710235,"domain_scores_codex":[0.9998487,0.00001051849,0.00001664546,0.00006156975,0.00003752637,0.00002495053],"domain_scores_gemma":[0.9998022,0.00001587308,0.00008202113,0.00002533263,0.00003887547,0.00003580318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005892441,0.0001870653,0.2070165,0.002136617,0.0002923553,0.00201609,0.002305838,0.001385085,0.04184162,0.008860541,0.04548157,0.6878875],"study_design_scores_gemma":[0.00002905761,0.0001527408,0.4829317,0.0003213832,0.0001005172,0.003839263,0.0007323101,0.0002850805,0.001597354,0.0008535223,0.5091238,0.00003334377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4887027,0.01190612,0.005666788,0.0004462975,0.0007385681,0.0003670436,0.009918434,0.001292086,0.4809617],"genre_scores_gemma":[0.9435377,0.003336481,0.003541561,0.0005714999,0.0001546241,0.00009183762,0.004778953,0.00008498834,0.04390235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01975956,"threshold_uncertainty_score":0.04412705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895566078284831,"score_gpt":0.206800906754685,"score_spread":0.1878452459718367,"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."}}