{"id":"W4392218894","doi":"","title":"The making of an invention : the pathways of autonomous inventors in France and Quebec","year":2014,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555047,0.0002431035,0.0003181588,0.002821872,0.01438631,0.01043535,0.001429797,0.001612795,0.008356015],"category_scores_gemma":[0.005381478,0.0002985254,0.0002832372,0.003022869,0.008063445,0.004315946,0.003656348,0.001637141,0.0003335896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07070817,"about_ca_system_score_gemma":0.03983287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680533,"about_ca_topic_score_gemma":0.9857476,"domain_scores_codex":[0.9975115,0.0007570981,0.00006045632,0.0002302754,0.0004397727,0.001000948],"domain_scores_gemma":[0.9954868,0.001687191,0.0003961653,0.0001476341,0.001178841,0.00110331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006832262,0.0000604356,0.04585974,0.00007358348,0.00001682786,0.001311981,0.8876456,0.0002759814,0.0007349298,0.02843913,0.00278602,0.03272745],"study_design_scores_gemma":[0.000008884912,0.00002994677,0.09580562,0.0001784713,0.00001350937,0.0001781826,0.8181394,0.0007014931,0.0002273454,0.002057193,0.08260354,0.00005639938],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941047,0.001271767,0.0005955449,0.004230747,0.00003175429,0.00006486319,0.0001634472,0.00001471482,0.05258011],"genre_scores_gemma":[0.9839437,0.0005943621,0.0002956207,0.000244726,0.000005033451,0.00002122475,0.0000688736,0.000009474912,0.01481705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07070817,"threshold_uncertainty_score":0.5130261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683385186095991,"score_gpt":0.2998954781710225,"score_spread":0.1315569595614234,"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."}}