{"id":"W7164509385","doi":"10.14286/gttoho","title":"CDFWA15","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":"Sturgeon; San Joaquin; Cove; Wildlife; Telemetry; Population; Juvenile","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027469,0.001387794,0.001073421,0.005649613,0.001863679,0.005486948,0.003273703,0.001355884,0.2624104],"category_scores_gemma":[0.009259698,0.001053087,0.0008961034,0.007561394,0.0004258442,0.004017583,0.003871325,0.001682951,0.2933671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523269,"about_ca_system_score_gemma":0.008289132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0912694,"about_ca_topic_score_gemma":0.0939286,"domain_scores_codex":[0.9974961,0.0001873039,0.000202391,0.0006306635,0.001176514,0.0003070986],"domain_scores_gemma":[0.9919913,0.0007074579,0.0004983188,0.0019914,0.004024688,0.0007867765],"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":[0.00004080997,0.00001847972,0.0009475471,0.00008004947,0.000007570071,0.00001176704,0.00003195604,0.00007661296,0.0001197084,0.000869419,0.9833567,0.01443928],"study_design_scores_gemma":[0.00002307108,0.000007865689,0.002659198,0.00007666957,0.000004987463,0.00001583111,0.00004940929,0.0002298525,0.0002554502,0.0005710981,0.9960927,0.00001381648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008092463,0.00009040006,0.002534651,0.0004876534,0.0003213245,0.0001927573,0.9286248,0.01080592,0.05613323],"genre_scores_gemma":[0.001615209,0.000123474,0.004581464,0.0002438529,0.00005073651,0.0003274087,0.9635723,0.003156987,0.02632853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7375896,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206029948481707,"score_gpt":0.393819984113853,"score_spread":0.2732169892656823,"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."}}