{"id":"W4392776977","doi":"10.3917/dm.041.0091","title":"Ces impayables « marges arrière »","year":2006,"lang":"fr","type":"article","venue":"Décisions Marketing","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Geology","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":[0.002267285,0.0005718223,0.000358985,0.00121328,0.00664413,0.006637352,0.0009608778,0.002336508,0.01637839],"category_scores_gemma":[0.01202135,0.0004234286,0.0004039214,0.001192195,0.008371523,0.006984756,0.003295395,0.004657541,0.002828954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269264,"about_ca_system_score_gemma":0.001255769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003521148,"about_ca_topic_score_gemma":0.006014273,"domain_scores_codex":[0.9980453,0.0008214696,0.00004342466,0.0002574843,0.0006170709,0.0002152055],"domain_scores_gemma":[0.9934515,0.003226813,0.0008668908,0.0008754315,0.0009751341,0.0006042761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002291788,0.00007750983,0.005110746,0.0003069364,0.00004276941,0.001214415,0.230556,0.0002732897,0.005706519,0.6506189,0.04387539,0.06198836],"study_design_scores_gemma":[0.00001463212,0.00006902513,0.0075518,0.0001908923,0.00002783569,0.0009371839,0.05986365,0.0004703315,0.001805719,0.04480232,0.8842033,0.00006341106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2384238,0.004366589,0.02605772,0.05109254,0.002184301,0.0001357979,0.0003855763,0.0004301562,0.6769236],"genre_scores_gemma":[0.8387135,0.001418702,0.003733563,0.001823463,0.0006282617,0.00008145913,0.00008068281,0.0002839358,0.1532364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01637839,"threshold_uncertainty_score":0.05479109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188711974160632,"score_gpt":0.258126286364872,"score_spread":0.2362391666232657,"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."}}