{"id":"W2163969602","doi":"10.7202/1008446ar","title":"Stratégies de croissance et contexte de gouvernement des entreprises de biotechnologies","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00355103,0.0004122363,0.0004910545,0.0004864614,0.0001937655,0.0004383375,0.0005505208,0.0006022673,0.001233154],"category_scores_gemma":[0.007218053,0.0005707666,0.0002685487,0.000255938,0.0005515325,0.001186974,0.0002724828,0.0008684424,0.000518647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835015,"about_ca_system_score_gemma":0.0003309074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230738,"about_ca_topic_score_gemma":0.0003285466,"domain_scores_codex":[0.9969354,0.0003722459,0.001044564,0.0006028101,0.00007392749,0.0009710891],"domain_scores_gemma":[0.9946715,0.003501156,0.0009100385,0.0005359341,0.0001588458,0.000222565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005536054,0.0005337024,0.3447911,0.0001683217,0.0002199165,0.00002031054,0.003163994,0.01477472,0.0002866292,0.6035603,0.00957152,0.02285417],"study_design_scores_gemma":[0.001402778,0.00008294909,0.459786,0.0008137936,0.00005648937,0.0003224496,0.0007512831,0.00945284,0.004045474,0.1477538,0.3747119,0.0008202188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619247,0.007455416,0.05052458,0.1730086,0.0007456847,0.0002985299,0.0004936897,0.0001799899,0.00536876],"genre_scores_gemma":[0.7621407,0.08149864,0.06157442,0.003955353,0.0006922918,0.0001775142,0.0001016333,0.00008469307,0.08977474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4558065,"threshold_uncertainty_score":0.9996799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274593836003202,"score_gpt":0.2693736988708862,"score_spread":0.2366277605108542,"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."}}