{"id":"W7104103072","doi":"10.14286/sjgryq","title":"OTN VR2W Loan - Cabo Verde: Nurse and Lemon shark.","year":2015,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Habitat; Cape verde; Pelagic zone; Exclusive economic zone; Reservation; Overexploitation; Sustainability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000870761,0.0009514713,0.0006868764,0.002415258,0.00076141,0.002106689,0.001645679,0.0007945517,0.155005],"category_scores_gemma":[0.003247543,0.0006476994,0.0005393696,0.00271147,0.0003222567,0.001810413,0.004098777,0.000629911,0.1541957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441114,"about_ca_system_score_gemma":0.002707912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0615302,"about_ca_topic_score_gemma":0.1147244,"domain_scores_codex":[0.9993178,0.00005020018,0.00006336113,0.0002187449,0.0001981323,0.0001517895],"domain_scores_gemma":[0.9980162,0.0001582016,0.0002070218,0.0006189555,0.0006734013,0.0003261657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008420173,0.00001202337,0.004968566,0.0004206322,0.0000154108,0.00004110519,0.0001174028,0.0001078019,0.0005654005,0.0005823877,0.9806963,0.01238889],"study_design_scores_gemma":[0.00003642339,0.00001206669,0.01369461,0.0001764497,0.000009819137,0.00004079545,0.0002557109,0.0003651219,0.0006539653,0.00041517,0.9843146,0.0000253034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000878988,0.00003415509,0.0003730654,0.00008951311,0.0001183577,0.00003845819,0.9890169,0.002029903,0.007420707],"genre_scores_gemma":[0.002302144,0.00004238319,0.001134815,0.00006692684,0.0000167913,0.000076134,0.9898527,0.000969148,0.005538953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.155005,"threshold_uncertainty_score":0.5185435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05656242645300612,"score_gpt":0.3621550096542457,"score_spread":0.3055925832012396,"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."}}