{"id":"W6904347147","doi":"10.1371/journal.pone.0112736.g007","title":"The seasonal distribution of mature swordfish ( = >179 cm) based on information from pop-up archival satellite results obtained by the National Marine Fisheries Service (NMFS), South Carolina Department of Natural Resources (DNR) and Fisheries and Oceans Canada (DFO).","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swordfish; South carolina; Distribution (mathematics); Marine fisheries; Service (business); Natural resource","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":[0.0003351945,0.0005643882,0.0002553616,0.003192808,0.0003952546,0.0005028512,0.001055782,0.0002761706,0.1010813],"category_scores_gemma":[0.002114695,0.0003070143,0.000403698,0.003405028,0.0002286621,0.0007613411,0.0006795698,0.0004192464,0.03875539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006230114,"about_ca_system_score_gemma":0.001206927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1954219,"about_ca_topic_score_gemma":0.4160447,"domain_scores_codex":[0.999786,0.00001166584,0.00001845218,0.00005914368,0.0000881223,0.00003671578],"domain_scores_gemma":[0.9985246,0.0001739086,0.0001756935,0.0001714892,0.0007933325,0.0001610175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009418891,0.00003494785,0.02704367,0.0003545349,0.00003748803,0.00008621708,0.0001716536,0.000510057,0.0007471791,0.0006454046,0.9462975,0.02397714],"study_design_scores_gemma":[0.00009660562,0.00002635259,0.4348788,0.0002707738,0.00004862057,0.0001081292,0.0005056988,0.0007058142,0.0009040907,0.0005412956,0.561873,0.00004085534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006593182,0.000075013,0.0006334868,0.00008799154,0.0001444919,0.000114646,0.9547495,0.000738062,0.03686364],"genre_scores_gemma":[0.03655724,0.0001870134,0.003695153,0.0001088104,0.00006049414,0.0002834221,0.9060555,0.0009794707,0.05207295],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8045781,"threshold_uncertainty_score":0.3885688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091448292275504,"score_gpt":0.2012187008894151,"score_spread":0.1903042179666601,"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."}}