{"id":"W3117867749","doi":"10.7202/1088140ar","title":"Analyse d’un écosystème d’innovation territorial : le cas de Niort Tech","year":2021,"lang":"fr","type":"article","venue":"Management international","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001055372,0.0001993891,0.0004548364,0.001263774,0.001470412,0.004549732,0.000404478,0.0006908769,0.003633574],"category_scores_gemma":[0.002150838,0.0001855747,0.000554773,0.001616923,0.002554304,0.003698791,0.002691219,0.0005676846,0.0002818429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298351,"about_ca_system_score_gemma":0.001617026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003958219,"about_ca_topic_score_gemma":0.007455116,"domain_scores_codex":[0.9990997,0.0002706666,0.00003394322,0.0001573296,0.0002687724,0.0001694935],"domain_scores_gemma":[0.9982544,0.0007560811,0.0003105595,0.0001830497,0.0002836026,0.0002122931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001328947,0.00007006191,0.1097113,0.0005086424,0.0001777924,0.002364159,0.01604176,0.0171338,0.01639386,0.767361,0.0009038579,0.06920096],"study_design_scores_gemma":[0.00002270781,0.000396578,0.3396001,0.0006156829,0.0003319261,0.004782043,0.06068144,0.04775509,0.01400628,0.3287,0.2029411,0.0001670886],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8292164,0.002874018,0.05112865,0.001532019,0.00004649969,0.00005007645,0.0001068921,0.00005060831,0.1149948],"genre_scores_gemma":[0.9877017,0.0007211147,0.006074109,0.00004906031,0.00001039926,0.00002887993,0.00004410413,0.00001446888,0.005356284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004549732,"threshold_uncertainty_score":0.01667583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158956677988329,"score_gpt":0.2446800658162195,"score_spread":0.2287843980173866,"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."}}