{"id":"W6986109018","doi":"","title":"Obituaries / Nécrologie","year":2019,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Passions; Compassion; Politics; Economic Justice; Social justice; Ridiculous; Shadow (psychology); Noise (video)","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":[0.0005409871,0.0004703944,0.0002580286,0.002643267,0.004649025,0.00281417,0.000536337,0.0009048825,0.09860101],"category_scores_gemma":[0.001852349,0.0002852418,0.0003613996,0.00187872,0.001912253,0.0009624381,0.001591414,0.001870245,0.02791641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520204,"about_ca_system_score_gemma":0.002072328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04112247,"about_ca_topic_score_gemma":0.08484598,"domain_scores_codex":[0.9995702,0.00007909225,0.00002213745,0.00006482621,0.0002018586,0.0000618573],"domain_scores_gemma":[0.9994766,0.0001094209,0.00005064061,0.0001409984,0.000173425,0.00004888893],"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":[0.000127155,0.00001754794,0.0004949223,0.0004202294,0.00001159142,0.001657994,0.003234424,0.0001213073,0.003372091,0.04474714,0.8855318,0.06026369],"study_design_scores_gemma":[9.663638e-7,0.000001914439,0.0001680095,0.00007695081,0.000001106311,0.0001653337,0.0002531083,0.00000690914,0.0001877631,0.0005974926,0.9985385,0.000002012764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006398221,0.01151839,0.002313029,0.007258578,0.009081109,0.0002511812,0.005859108,0.0006543676,0.9566661],"genre_scores_gemma":[0.04685091,0.01014446,0.003381145,0.004876688,0.002878967,0.0002243786,0.004126192,0.0009308707,0.9265863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9588775,"threshold_uncertainty_score":0.3298532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151406488338401,"score_gpt":0.2178021977722191,"score_spread":0.206288132888835,"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."}}