{"id":"W4413673245","doi":"10.64628/aam.rkpv5cmt9","title":"Caught on camera: Ancient Greenland sharks","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Oceanography; Fishery; Geology; Paleontology; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071002,0.0004961414,0.0002596375,0.0006683993,0.001290929,0.00117552,0.0004077033,0.00110627,0.01046812],"category_scores_gemma":[0.0009758134,0.000284611,0.0001533706,0.0005682394,0.002765697,0.0009154782,0.00105156,0.0007146918,0.001334487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000883146,"about_ca_system_score_gemma":0.0004075335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223281,"about_ca_topic_score_gemma":0.04519204,"domain_scores_codex":[0.9998137,0.00001352461,0.000004999444,0.00007202753,0.00002900998,0.00006672432],"domain_scores_gemma":[0.9997317,0.00004464898,0.00005092905,0.00005995458,0.00005004923,0.00006272923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002235526,0.0002855225,0.5342076,0.0004548324,0.0003991842,0.04173026,0.04169329,0.002192918,0.06489532,0.03766257,0.02998468,0.2442583],"study_design_scores_gemma":[0.00003527942,0.0002306038,0.9329046,0.000190258,0.0001560532,0.01192106,0.01284651,0.0009590521,0.003650616,0.00570809,0.03133974,0.00005803107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792535,0.0005046312,0.00142735,0.001129215,0.0002297166,0.00001441051,0.0002037509,0.00005686481,0.01718041],"genre_scores_gemma":[0.9876737,0.0003625516,0.0008774092,0.000476337,0.00009849654,0.000003722538,0.0003287457,0.00004487402,0.01013411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01223281,"threshold_uncertainty_score":0.0350194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248874257974019,"score_gpt":0.2394140056958685,"score_spread":0.2269252631161283,"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."}}