{"id":"W7001667101","doi":"","title":"La croix de Sainte-Anne à Chicoutimi-Nord : changer de vocation en fonction de l’histoire","year":2021,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Subject (documents); Work (physics); Government (linguistics)","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":[0.0008237091,0.0002827589,0.0003683195,0.001348992,0.00291016,0.001499863,0.0006477596,0.0004725523,0.009037447],"category_scores_gemma":[0.001397008,0.0002153258,0.0002566825,0.002698242,0.001186264,0.0005417812,0.001469066,0.001010731,0.000665161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004108169,"about_ca_system_score_gemma":0.004429905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6429519,"about_ca_topic_score_gemma":0.8798956,"domain_scores_codex":[0.9995531,0.0001167527,0.00002145603,0.00008458134,0.00006737485,0.0001567215],"domain_scores_gemma":[0.9991872,0.0001486102,0.0001267401,0.00004074443,0.0003324381,0.0001642612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002008722,0.0001408005,0.7260216,0.0006418437,0.0002042526,0.003029916,0.1495335,0.00067747,0.006418566,0.01153604,0.02036124,0.07942592],"study_design_scores_gemma":[0.00001436693,0.00004498631,0.905287,0.0002253561,0.00002088657,0.0001689274,0.05045681,0.0001791465,0.0005970843,0.000169312,0.04281484,0.00002130618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724146,0.001449353,0.0007552338,0.000699536,0.0002120146,0.00007591979,0.00290404,0.00002966519,0.02145974],"genre_scores_gemma":[0.9672677,0.0005490725,0.001693825,0.0001517925,0.00003896191,0.0001424306,0.001247561,0.00004581457,0.02886285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3570481,"threshold_uncertainty_score":0.7183017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008360580338474168,"score_gpt":0.1861347231460864,"score_spread":0.1777741428076123,"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."}}