{"id":"W4283276625","doi":"10.7202/1089974ar","title":"Hommage à Marie-Claire Blais","year":2022,"lang":"en","type":"article","venue":"Dalhousie French Studies","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Mount Allison University","funders":"George Mason University","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002562227,0.00121153,0.001043562,0.001751731,0.01237137,0.00631807,0.0009471361,0.004853379,0.07379848],"category_scores_gemma":[0.00818942,0.0004871145,0.000640773,0.001081692,0.002452323,0.003039655,0.002568875,0.004782035,0.007723995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009186651,"about_ca_system_score_gemma":0.00853237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3094249,"about_ca_topic_score_gemma":0.2986788,"domain_scores_codex":[0.9981728,0.0007009621,0.00004843964,0.0003194926,0.0004173251,0.0003410302],"domain_scores_gemma":[0.9955202,0.002122645,0.0002029956,0.000165896,0.001091055,0.0008970932],"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":[0.0004131961,0.0001817743,0.006213083,0.0004942592,0.00008082919,0.001745384,0.009597881,0.0003696675,0.001193217,0.1201403,0.7755638,0.08400651],"study_design_scores_gemma":[0.00001445331,0.00001492002,0.006289114,0.0002120717,0.000007004612,0.0003443412,0.006096311,0.00009070855,0.0002818545,0.001720725,0.9848933,0.00003527547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.04034882,0.1255112,0.001640521,0.6101875,0.0286125,0.00009469542,0.001001775,0.0003983548,0.1922047],"genre_scores_gemma":[0.1678277,0.02263763,0.001552982,0.03335269,0.006120202,0.0001465091,0.0002434203,0.0002084226,0.7679104],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3094249,"threshold_uncertainty_score":0.6152477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494474752176603,"score_gpt":0.4055137048501658,"score_spread":0.2560662296325055,"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."}}