{"id":"W7066025194","doi":"","title":"Évangéliser les Canadiens français : missions et retraites paroissiales au XIXe siècle","year":2014,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Social impact; Politics; Millenarianism","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":[0.001075219,0.0003044501,0.000178698,0.0006776836,0.0162862,0.003055195,0.000535127,0.001005329,0.007973102],"category_scores_gemma":[0.001613606,0.0001679137,0.0001316015,0.001245507,0.008336496,0.001291234,0.002601896,0.002017013,0.0007920291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01931346,"about_ca_system_score_gemma":0.01767938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7809497,"about_ca_topic_score_gemma":0.9191617,"domain_scores_codex":[0.9986595,0.0002591592,0.00001757092,0.00009492629,0.0001635989,0.0008052772],"domain_scores_gemma":[0.998621,0.0001768986,0.00016889,0.00006669552,0.0003015021,0.0006650146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001834845,0.00008940222,0.04381299,0.0001681329,0.00002236785,0.002059639,0.7296353,0.0002698195,0.001097289,0.1284331,0.02930042,0.06492806],"study_design_scores_gemma":[0.00001255127,0.00006737509,0.1051242,0.0002903765,0.000009579123,0.000309969,0.3583857,0.00007406864,0.0002718068,0.001454043,0.5339593,0.00004105071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.77104,0.004914235,0.0002684449,0.01302187,0.0002078871,0.00003388011,0.0001443044,0.00001577355,0.2103536],"genre_scores_gemma":[0.9507776,0.001271701,0.00008357391,0.0006142783,0.00002091196,0.00001224939,0.00004524472,0.000009551838,0.04716483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2190503,"threshold_uncertainty_score":0.4406806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059578765096118,"score_gpt":0.2059936663775251,"score_spread":0.195397878726564,"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."}}