{"id":"W1602246329","doi":"","title":"LES ANTÉCÉDENTS DE LA SATISFACTION ENVERS LA SÉLECTION D'UN PRODUIT EN CONTEXTE DE CYBERMAGASINAGE: UN MODÈLE DE 'FIT' COGNITIF 1","year":2007,"lang":"fr","type":"article","venue":"ASAC","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Brock University","funders":"","keywords":"Humanities; Psychology; Philosophy","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":[0.002355354,0.0007514231,0.0005453276,0.001252365,0.0009401714,0.004441513,0.0008217942,0.001588414,0.01287521],"category_scores_gemma":[0.01388924,0.0004981604,0.001126931,0.001418946,0.001626281,0.003184908,0.002301701,0.00139438,0.0009227286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002312192,"about_ca_system_score_gemma":0.002009906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007527769,"about_ca_topic_score_gemma":0.00568453,"domain_scores_codex":[0.9972414,0.001168684,0.0001533051,0.0003574865,0.000738269,0.0003408937],"domain_scores_gemma":[0.9857702,0.008449919,0.002292632,0.0008115411,0.001673325,0.001002349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009575227,0.002598203,0.8194894,0.0008512599,0.0005919338,0.001273438,0.02411217,0.01304916,0.006273647,0.04281999,0.001905182,0.08607816],"study_design_scores_gemma":[0.0001286644,0.001535549,0.8768306,0.0003825523,0.0004875745,0.0005882917,0.02297072,0.05200264,0.002638439,0.03266286,0.009597222,0.0001748808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648242,0.0002208736,0.01105417,0.0007630556,0.00002002767,0.000191824,0.0001727336,0.00004949504,0.02270364],"genre_scores_gemma":[0.9948848,0.0001044162,0.002692361,0.00006112891,0.000005784994,0.000093946,0.0001044193,0.00001063616,0.002042448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287521,"threshold_uncertainty_score":0.04307181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517404369174241,"score_gpt":0.3815152583527353,"score_spread":0.3063412146609928,"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."}}