{"id":"W6923601123","doi":"10.14288/1.0007536","title":"Womens auxiliary members at United Fishermen and Allied Workers Union annual convention at Vancouver, April","year":2002,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Convention; Population; Legislation; Government (linguistics)","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":[],"category_scores_codex":[0.0007267524,0.0007679902,0.0005104228,0.001450525,0.009233274,0.004590199,0.001379059,0.002545897,0.3578678],"category_scores_gemma":[0.00141268,0.0005320862,0.0002796537,0.001413698,0.0005144643,0.00100421,0.001636225,0.00236718,0.1363515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004167784,"about_ca_system_score_gemma":0.01287148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3760703,"about_ca_topic_score_gemma":0.8086787,"domain_scores_codex":[0.9994133,0.00003044409,0.00001283736,0.00005054009,0.0002475905,0.0002453521],"domain_scores_gemma":[0.9991415,0.00005082293,0.00002107132,0.00003005659,0.0004576586,0.000298958],"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":[0.00002049891,0.00003111165,0.0001693095,0.0000230852,5.973906e-7,0.00003122129,0.000178608,0.00001535644,0.00007289214,0.001581736,0.9865703,0.0113052],"study_design_scores_gemma":[0.00000611043,0.000005843461,0.001516689,0.00003719131,0.000001089655,0.000007476481,0.000485416,0.00001512373,0.00006932816,0.0001545346,0.9976975,0.000003798948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002467657,0.0007736657,0.0001664651,0.003530293,0.001368268,0.0002301343,0.005525062,0.0003390195,0.9855993],"genre_scores_gemma":[0.0007361562,0.00008530233,0.0000274831,0.0001637023,0.00002071029,0.00001715419,0.0003007557,0.00002606471,0.9986227],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6239297,"threshold_uncertainty_score":0.9159236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657163582915721,"score_gpt":0.2433288530924677,"score_spread":0.2267572172633105,"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."}}