{"id":"W6961147000","doi":"10.14288/1.0169477","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Action (physics); Work (physics); Subject (documents)","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":[0.000948896,0.0006203091,0.0005633751,0.001653837,0.00787269,0.006728822,0.001065251,0.003001712,0.4845345],"category_scores_gemma":[0.004322052,0.0004502984,0.0002511102,0.00168317,0.001064373,0.001853739,0.002829344,0.003464279,0.204099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004938156,"about_ca_system_score_gemma":0.01422031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2198775,"about_ca_topic_score_gemma":0.5114229,"domain_scores_codex":[0.9985892,0.00008525841,0.00003483595,0.0002646832,0.0006947273,0.0003312701],"domain_scores_gemma":[0.9975678,0.0001529776,0.00005270194,0.0001871981,0.00119403,0.0008452132],"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":[0.00001775098,0.000009733862,0.0002713811,0.00002915324,0.00000121589,0.00008443312,0.0001010236,0.00001526665,0.00005057493,0.006554211,0.9673698,0.02549554],"study_design_scores_gemma":[0.00000191845,0.000001200505,0.00017904,0.00003254751,7.331687e-7,0.00002549798,0.00009669866,0.000008543019,0.00001932096,0.0002493391,0.999383,0.000002127073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006508724,0.003296091,0.0002260493,0.01676972,0.005141948,0.00005506788,0.0008434088,0.0002350705,0.9727817],"genre_scores_gemma":[0.002004388,0.0006576792,0.00007420943,0.001387402,0.0002513627,0.000009082435,0.0001412743,0.00005424066,0.9954204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7801225,"threshold_uncertainty_score":0.7352489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107363749268423,"score_gpt":0.2196432984534523,"score_spread":0.10890692352661,"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."}}