{"id":"W6891721327","doi":"10.4231/r7v69gjv","title":"Rapidly shifting maturation schedules following reducedcommercial harvest in a freshwater fish","year":2015,"lang":"en","type":"dataset","venue":"Purdue University Research Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"Perch; Fishing; Bay; Fish stock; Stock (firearms); Stock assessment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005822191,0.0006626516,0.0008994644,0.003813325,0.001259793,0.0007311422,0.002411132,0.001148934,0.00007301701],"category_scores_gemma":[0.001516881,0.0007859137,0.0003860439,0.00212,0.0006020035,0.00179625,0.001842178,0.004572714,0.002105142],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00505278,"about_ca_system_score_gemma":0.002405804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02077684,"about_ca_topic_score_gemma":0.02289936,"domain_scores_codex":[0.9886217,0.004209607,0.000667096,0.001511103,0.003224568,0.00176589],"domain_scores_gemma":[0.9956827,0.0005120634,0.0003725657,0.001720955,0.000977211,0.0007345484],"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":[0.001008658,0.0003276761,0.0006314461,0.0002072942,0.0001841327,0.005939054,0.0004011735,0.00002353776,0.00490224,0.00003494401,0.9862667,0.00007308491],"study_design_scores_gemma":[0.001687104,0.0001595956,0.0009833769,0.0008166273,0.0001185941,0.0000477336,0.00190666,0.0001089252,0.001034033,0.00004960082,0.9922801,0.0008076269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1072304,0.0005231574,0.000002290299,0.0002788131,0.001452795,0.001498662,0.8859827,0.0002331882,0.002798042],"genre_scores_gemma":[0.01240858,0.00006685809,0.0005248687,0.00002006834,0.001415051,0.00001543124,0.982332,0.0001617,0.003055426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09634935,"threshold_uncertainty_score":0.9994592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436526780940106,"score_gpt":0.3293487333266037,"score_spread":0.2649834655172026,"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."}}