{"id":"W6946258303","doi":"10.25976/4vph-rb61","title":"RivTemp--OBVHCN_INRS","year":2021,"lang":"en","type":"dataset","venue":"DataStream","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Variety (cybernetics); Foundation (evidence); Watershed; Oncorhynchus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004089892,0.0008748822,0.0009171376,0.0004101603,0.0001652716,0.0003120725,0.002092104,0.0005992073,0.01444858],"category_scores_gemma":[0.0005553182,0.0008986779,0.0002400186,0.0007756123,0.0002197725,0.0003089867,0.001428123,0.001195251,0.1552123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495372,"about_ca_system_score_gemma":0.0005260542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699796,"about_ca_topic_score_gemma":0.001617444,"domain_scores_codex":[0.995679,0.0002779383,0.0006832589,0.001441415,0.001032546,0.0008858113],"domain_scores_gemma":[0.9931865,0.0001521543,0.000470349,0.005668845,0.0001531979,0.0003689489],"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":[0.00002041791,0.000343149,0.000008763841,0.0001570363,0.0002403746,0.0007661051,0.000002972602,0.000002814514,0.00002516165,0.000003814955,0.9980094,0.000419935],"study_design_scores_gemma":[0.0004374155,0.00004361718,0.00003047439,0.0002568395,0.0003968404,0.000154515,0.00003400887,0.000002028074,0.00008271178,0.00001178057,0.9977244,0.0008253517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008780249,0.0005551749,0.000001728048,0.00003561427,0.001193244,0.0003105543,0.9973632,0.0002017647,0.0003299785],"genre_scores_gemma":[7.997874e-7,0.0002498998,0.0002696104,0.0002528548,0.0009994562,0.00009835794,0.9976729,0.0001730483,0.0002830717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1407638,"threshold_uncertainty_score":0.9993464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992025047406969,"score_gpt":0.2877364500954117,"score_spread":0.267816199621342,"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."}}