{"id":"W7163415474","doi":"10.14286/xq0eey","title":"SERC Smooth Dogfish Study","year":2017,"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":"Telemetry; Habitat; Key (lock); Open source; Research center","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":[0.0007608141,0.0006224244,0.0005845437,0.001903901,0.0006473968,0.001196066,0.001498593,0.000801375,0.02158326],"category_scores_gemma":[0.003637538,0.000273289,0.0006184852,0.002731755,0.0002637996,0.0007335194,0.001943887,0.0009022532,0.02036201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129461,"about_ca_system_score_gemma":0.00243289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1006268,"about_ca_topic_score_gemma":0.1964169,"domain_scores_codex":[0.9995454,0.00006200909,0.00005230003,0.0001232776,0.0001291328,0.00008785945],"domain_scores_gemma":[0.9985055,0.0001943461,0.0002175207,0.0002993589,0.0005506941,0.0002326905],"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":[0.0001073845,0.00002881809,0.008391828,0.0003771958,0.0000441012,0.00005542181,0.00007631393,0.0001499536,0.0001118392,0.0005132052,0.9870166,0.003127277],"study_design_scores_gemma":[0.0002947186,0.00003057314,0.05812377,0.000390643,0.00005580434,0.00009632538,0.0004734349,0.0005202171,0.0003048099,0.0007150636,0.9389476,0.00004699922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001467789,0.00004923316,0.00005715533,0.00009974343,0.00002463442,0.00003053099,0.9968382,0.0001349898,0.001297688],"genre_scores_gemma":[0.002017159,0.00004341531,0.0001952865,0.00005556997,0.00001063475,0.0001304511,0.9963943,0.00004701303,0.00110616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1006268,"threshold_uncertainty_score":0.2000822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000714491760227,"score_gpt":0.4147121408895388,"score_spread":0.3146406917135162,"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."}}