{"id":"W6960671494","doi":"10.14288/1.0344606","title":"The Canadian Labor Advocate","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003842328,0.0008074155,0.0007890354,0.002032514,0.02587089,0.01311328,0.002308409,0.01252701,0.14315],"category_scores_gemma":[0.01462013,0.0006548848,0.0007343566,0.002149351,0.005790438,0.002959941,0.005399472,0.01180197,0.0266263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04275571,"about_ca_system_score_gemma":0.1766603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9186009,"about_ca_topic_score_gemma":0.9643754,"domain_scores_codex":[0.990818,0.0005573274,0.0001397552,0.0008186296,0.004271818,0.003394503],"domain_scores_gemma":[0.9873309,0.0009031395,0.0002307791,0.0005510335,0.005092553,0.005891524],"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":[0.000008987774,0.00001026195,0.0003294381,0.00001562482,0.000001974002,0.00006259092,0.0002445551,0.00001613825,0.0000372328,0.03114685,0.9602251,0.00790133],"study_design_scores_gemma":[0.000003933774,0.000002321617,0.0005946856,0.00003934422,0.000001593334,0.00001740192,0.0005757257,0.00001710789,0.00001571403,0.001175739,0.9975485,0.000007939966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001701786,0.005857394,0.0002548691,0.4414329,0.01617222,0.00006864664,0.0006423108,0.0001062103,0.5337638],"genre_scores_gemma":[0.00947983,0.001554679,0.000236623,0.06177709,0.0009966244,0.00003562909,0.0001350489,0.00005438266,0.92573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.14315,"threshold_uncertainty_score":0.4788846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773809611511806,"score_gpt":0.2683036507355628,"score_spread":0.2505655546204447,"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."}}