{"id":"W6999702858","doi":"","title":"De High Bluff, Manitoba. \\n L’élu du hasard, de Martine Desjardins, Leméac, 158 p.","year":2004,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Head (geology); Field (mathematics); Process (computing)","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":[0.000549376,0.00137568,0.0008594889,0.002139599,0.008965295,0.003596378,0.001621225,0.00210541,0.08260399],"category_scores_gemma":[0.001166771,0.001152584,0.0004444028,0.00653228,0.002022263,0.002289832,0.00126131,0.002831972,0.02224223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01329099,"about_ca_system_score_gemma":0.01549777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.87843,"about_ca_topic_score_gemma":0.9750073,"domain_scores_codex":[0.9997274,0.00004027616,0.00001440447,0.00006235476,0.0001030226,0.00005250056],"domain_scores_gemma":[0.9991878,0.0001721939,0.00004379437,0.00004039066,0.0004768958,0.0000788604],"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":[0.0000826752,0.0000318435,0.002232062,0.0009068002,0.00003987334,0.0004133394,0.004769341,0.0002191165,0.000689997,0.02270929,0.8108402,0.1570653],"study_design_scores_gemma":[0.000007533688,0.000003863146,0.006440588,0.0009211913,0.00001646917,0.0001295282,0.002056164,0.00003926203,0.0002044587,0.001585639,0.9885803,0.00001484928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002243304,0.7929156,0.0007238947,0.04905934,0.005809243,0.00002584941,0.003461431,0.0001639924,0.1455974],"genre_scores_gemma":[0.02657837,0.3333117,0.002007193,0.008560149,0.001059391,0.00006971003,0.001692821,0.0003236777,0.626397],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.12157,"threshold_uncertainty_score":0.2763379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004977937794716925,"score_gpt":0.1484261571844193,"score_spread":0.1434482193897023,"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."}}