{"id":"W6961010928","doi":"10.14288/1.0344615","title":"The Canadian Labor Advocate","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics); Labor relations","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":[0.004987826,0.0009030797,0.0009229018,0.002810021,0.02399089,0.01510066,0.002605174,0.01374968,0.2005495],"category_scores_gemma":[0.0180465,0.0007247474,0.0008898803,0.002772489,0.005004029,0.003270238,0.005305348,0.01253114,0.05524564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04014553,"about_ca_system_score_gemma":0.1733161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8899046,"about_ca_topic_score_gemma":0.9515471,"domain_scores_codex":[0.9875308,0.0006230562,0.0001975149,0.001084653,0.006276768,0.004287255],"domain_scores_gemma":[0.9789661,0.001240272,0.0003789815,0.000857147,0.01013591,0.008421662],"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":[0.00000763027,0.000008128633,0.0001951531,0.00001224074,0.000001406874,0.00003933517,0.0001161844,0.00000970619,0.00002934288,0.01382977,0.9804731,0.005278061],"study_design_scores_gemma":[0.000003454152,0.000002040301,0.0004117615,0.00003386621,0.000001432562,0.00001400444,0.0003715573,0.00001345125,0.00001326062,0.0006744871,0.9984545,0.000006294316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001169174,0.004291934,0.000305551,0.4033668,0.0220978,0.00009983453,0.001100557,0.0001688448,0.5673995],"genre_scores_gemma":[0.004647578,0.001086287,0.0001918497,0.04792892,0.0008748649,0.00003611875,0.0001815771,0.00006114056,0.9449917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7994505,"threshold_uncertainty_score":0.6709048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183992427181487,"score_gpt":0.2570691579541803,"score_spread":0.2252292336823655,"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."}}