{"id":"W3176359813","doi":"10.3390/laws10030052","title":"Atlantic Shortfin Mako: Chronicle of a Death Foretold?","year":2021,"lang":"en","type":"article","venue":"Laws","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Entrust (Canada)","funders":"","keywords":"Fishery; Fishing; Population; Biology; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006271216,0.00004806848,0.00009379793,0.000004842006,0.00002765466,0.000001697773,0.00008523435,0.00005691436,0.005220992],"category_scores_gemma":[0.00001718138,0.00004164127,0.00003283355,0.00006988959,0.00009589097,0.00002716452,0.0001726286,0.00004807398,0.000359463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002354569,"about_ca_system_score_gemma":0.0000112759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004385263,"about_ca_topic_score_gemma":0.001712713,"domain_scores_codex":[0.9995524,0.00002944322,0.00008980909,0.0001342285,0.0000475586,0.0001465259],"domain_scores_gemma":[0.9997776,0.00001992326,0.00001945018,0.0001540975,0.000003380084,0.0000255139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001463584,0.00006706753,0.9576248,0.000007073703,0.00001334206,0.00004789922,0.00006411804,0.00004302155,0.02447026,0.01171268,0.002737142,0.003197968],"study_design_scores_gemma":[0.0003692496,0.000121044,0.8662944,0.000005538624,0.00002174505,0.00009387844,0.00002676535,0.0002780348,0.02667551,0.004482103,0.1014947,0.0001370017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484408,0.0000811588,0.0001028153,0.0001894099,0.00008486996,0.00003735314,0.000001385669,0.00001185194,0.05105037],"genre_scores_gemma":[0.9965945,0.00001864359,0.0005954955,0.000241269,0.00001931813,0.000003581414,0.000009485472,0.000003563498,0.002514145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09875758,"threshold_uncertainty_score":0.9956884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00953237295938575,"score_gpt":0.2258167391312507,"score_spread":0.216284366171865,"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."}}