{"id":"W7042190256","doi":"","title":"Parcs Canada, acteur marquant de la muséologie québécoise","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cultural Identity and Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials testing; Current (fluid); Motion study; Dome (geology)","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":[0.001275151,0.0007936017,0.0004250596,0.001807021,0.009741264,0.004270916,0.001231621,0.001759114,0.035491],"category_scores_gemma":[0.00283871,0.0004133295,0.0003733953,0.004061628,0.002364273,0.001489612,0.001406374,0.003225264,0.00252899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05959699,"about_ca_system_score_gemma":0.1236563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959603,"about_ca_topic_score_gemma":0.9980448,"domain_scores_codex":[0.9984047,0.0001381254,0.00004371075,0.0001648648,0.000791555,0.000457107],"domain_scores_gemma":[0.9969566,0.0002535022,0.0001270604,0.00009386355,0.002035123,0.0005338805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000985908,0.00002581111,0.007586302,0.0005237439,0.00004589005,0.0007151896,0.00390293,0.0003881903,0.001090994,0.06596169,0.837992,0.08166864],"study_design_scores_gemma":[0.000007007468,0.000004294759,0.0131148,0.0001331637,0.000007919289,0.00007960523,0.001030558,0.00004670498,0.000215366,0.0003708788,0.9849717,0.00001805821],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04359965,0.1969295,0.003421319,0.1088824,0.01243269,0.0004311384,0.02469753,0.0004865829,0.6091192],"genre_scores_gemma":[0.1696375,0.03447201,0.003204645,0.006749952,0.0005179362,0.0002252204,0.003737089,0.0002448779,0.7812107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05959699,"threshold_uncertainty_score":0.4324084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361749730004121,"score_gpt":0.1715250356410476,"score_spread":0.1579075383410064,"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."}}