{"id":"W4415804803","doi":"10.3917/entin.065.0007","title":"Naviguer dans les « zones grises » : les dynamiques de collaboration des acteurs de l’accompagnement start-up au Québec","year":2025,"lang":"fr","type":"article","venue":"Entreprendre & Innover","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Plan (archaeology); Data collection; ESPACE","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007329235,0.0003110403,0.0003155175,0.00007620783,0.001630773,0.0003328515,0.0005606292,0.0002856764,0.001233614],"category_scores_gemma":[0.0004433353,0.0003210967,0.0001560411,0.001664934,0.001544305,0.0007200693,0.0001525456,0.000272415,0.00003745509],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003911372,"about_ca_system_score_gemma":0.00401386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8339598,"about_ca_topic_score_gemma":0.9439206,"domain_scores_codex":[0.996972,0.0005072181,0.0004567318,0.0005451222,0.0005700953,0.0009488758],"domain_scores_gemma":[0.9986544,0.0002919839,0.0003053515,0.0002719971,0.0002924315,0.0001838685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003963793,0.0002518732,0.6098451,0.00009030877,0.00008122651,0.000009085555,0.1474677,0.0002074859,0.0006052032,0.1093484,0.02467266,0.1073813],"study_design_scores_gemma":[0.0004197177,0.00007355541,0.5041022,0.0004488352,0.0001117724,0.000001500216,0.1071669,0.0001806387,0.001374995,0.006393773,0.3793119,0.0004142462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285949,0.008523571,0.004108636,0.03042622,0.002183765,0.0003329957,0.0001301176,0.0001196762,0.02558011],"genre_scores_gemma":[0.9223939,0.002167313,0.0005290373,0.000373394,0.0005467195,0.00004498488,0.00001209144,0.00001684941,0.0739157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3546392,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656171012708437,"score_gpt":0.3242881431165901,"score_spread":0.2977264329895057,"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."}}