{"id":"W6942279629","doi":"10.14288/1.0014884","title":"Dr. W. R. Martin, Assistant Chairman, [Fisheries] Research Board of Canada","year":2002,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00107902,0.0006141935,0.000497547,0.002097506,0.004255389,0.003422233,0.0010885,0.001536527,0.4504519],"category_scores_gemma":[0.002219783,0.0004372336,0.0002418138,0.002158102,0.0006991649,0.001077599,0.001115276,0.001602573,0.2104432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00558621,"about_ca_system_score_gemma":0.01774138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5244929,"about_ca_topic_score_gemma":0.8324896,"domain_scores_codex":[0.9990737,0.00004377894,0.00002976546,0.000129488,0.0005326159,0.0001906063],"domain_scores_gemma":[0.9955165,0.0001407204,0.00009541884,0.00006532255,0.002941761,0.001240393],"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":[0.00002359408,0.00001204392,0.000588705,0.00004752083,0.000001309407,0.00004494795,0.00004985334,0.00003358032,0.0001840412,0.000576591,0.9683302,0.03010751],"study_design_scores_gemma":[0.000005827952,0.00001033001,0.002116949,0.00005552998,0.000002782314,0.00006787278,0.0002095753,0.00006386489,0.0001908678,0.00009393495,0.9971738,0.000008615867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00356368,0.007573714,0.001774347,0.03269899,0.005217052,0.0004568976,0.00996598,0.001785654,0.9369636],"genre_scores_gemma":[0.001891562,0.001659974,0.0002980115,0.0004794282,0.000082579,0.00001502122,0.000716777,0.0001049998,0.9947518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.549548,"threshold_uncertainty_score":0.9566149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06904106677503291,"score_gpt":0.3195494537967609,"score_spread":0.250508387021728,"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."}}