{"id":"W7163353098","doi":"10.14286/irp1dp","title":"SERC Bull Shark Study","year":2016,"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; Telemetry; Research center; Key (lock); Global Positioning System","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":[0.0008276859,0.0005417872,0.0005980312,0.001705947,0.0006514507,0.001029575,0.001432425,0.0007642327,0.01725606],"category_scores_gemma":[0.00278042,0.0002897548,0.0005899364,0.002310073,0.0002738757,0.0006027849,0.001553546,0.0007794722,0.01425545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286104,"about_ca_system_score_gemma":0.002345304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09958877,"about_ca_topic_score_gemma":0.2104205,"domain_scores_codex":[0.9995617,0.00005491811,0.00006285305,0.0001213865,0.000116223,0.00008294831],"domain_scores_gemma":[0.9988426,0.0001443899,0.0002063251,0.0002354641,0.0003898435,0.000181287],"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":[0.0001833335,0.00004658122,0.01312608,0.000621378,0.0000737089,0.00009415077,0.0001277326,0.0002353469,0.0002363765,0.0006480253,0.9802287,0.004378601],"study_design_scores_gemma":[0.0003514676,0.000043416,0.08645394,0.0004770492,0.00009816865,0.0001403616,0.000518369,0.0005669779,0.0004237475,0.0005957498,0.9102734,0.00005728999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00205552,0.00006085086,0.00007143474,0.00008768701,0.00002572723,0.00004038192,0.9964511,0.0001170389,0.001090246],"genre_scores_gemma":[0.002386638,0.00005036539,0.0002310013,0.00005998134,0.00001176167,0.0001539116,0.9960516,0.00004173542,0.001013066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09958877,"threshold_uncertainty_score":0.1980181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07583756040871624,"score_gpt":0.3793319220590129,"score_spread":0.3034943616502967,"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."}}