{"id":"W3184163302","doi":"","title":"Les maquettes : miniaturiser pour mieux se souvenir","year":2020,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Urbanism, Landscape, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de la Gaspésie et des Îles","funders":"","keywords":"Medicine","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":[0.001696183,0.001298081,0.0004046369,0.0009465548,0.007480957,0.005361964,0.001344273,0.002025979,0.05693769],"category_scores_gemma":[0.004468581,0.0005732165,0.0007933514,0.0009695219,0.003138057,0.003348595,0.00426664,0.002935595,0.009928958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00303911,"about_ca_system_score_gemma":0.004382255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06483716,"about_ca_topic_score_gemma":0.1370768,"domain_scores_codex":[0.9986634,0.0004358605,0.00003697553,0.0002214226,0.0003879782,0.0002542948],"domain_scores_gemma":[0.9987621,0.0002836701,0.00009644505,0.0001597989,0.0003940281,0.0003040017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006993694,0.0005111729,0.01145028,0.0006521691,0.00006592952,0.003667512,0.1227892,0.001082016,0.02236668,0.1144242,0.221739,0.5005524],"study_design_scores_gemma":[0.00003364998,0.0001531682,0.007351546,0.0001857348,0.00002755217,0.0008040093,0.02130141,0.0003626551,0.001814974,0.00238072,0.9655343,0.00005028486],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3941691,0.0150861,0.06669589,0.04914214,0.01243565,0.0009254779,0.0008842261,0.005123653,0.4555378],"genre_scores_gemma":[0.3332375,0.004414148,0.04484817,0.002341255,0.001401065,0.0003596169,0.0003584225,0.001790008,0.6112498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06483716,"threshold_uncertainty_score":0.1904756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902723180910001,"score_gpt":0.1999794086776007,"score_spread":0.1809521768685007,"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."}}