{"id":"W1566119594","doi":"","title":"Modèles d'affaires, proximités et territorialisation des entreprises","year":2011,"lang":"fr","type":"article","venue":"Cairn.info","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008674838,0.0002236768,0.0002412519,0.00003641831,0.0006796886,0.0001651142,0.0005415365,0.0002740587,0.003467322],"category_scores_gemma":[0.0005807556,0.0002215677,0.0001728198,0.000504698,0.0017504,0.001305254,0.00009824106,0.0001729633,0.0003293518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430893,"about_ca_system_score_gemma":0.0004860548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3899281,"about_ca_topic_score_gemma":0.09583001,"domain_scores_codex":[0.9976857,0.0002175014,0.0003453105,0.0004178931,0.0006978617,0.0006356788],"domain_scores_gemma":[0.9988912,0.0001379479,0.0002872226,0.0002451671,0.0001660213,0.0002724833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002856935,0.0002047043,0.04558821,0.00004500518,0.00003534853,0.00001567066,0.3326919,0.00001715944,0.0000468395,0.5344489,0.03147118,0.05540653],"study_design_scores_gemma":[0.0003954215,0.0001661847,0.08569673,0.0002025638,0.00006833241,0.000003150556,0.02256738,0.0001233795,0.0005761739,0.08682159,0.8028208,0.0005582915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3851139,0.006930726,0.0008365461,0.009880036,0.0182376,0.0006736129,0.00007718976,0.0002160319,0.5780344],"genre_scores_gemma":[0.8522618,0.002484586,0.002804003,0.0003421186,0.003666574,0.00004569115,0.000005175109,0.0000224178,0.1383676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7713496,"threshold_uncertainty_score":0.9974436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309669929611197,"score_gpt":0.3163108362260485,"score_spread":0.1853438432649288,"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."}}