{"id":"W7133380287","doi":"","title":"Réponse makers à la pandémie de la COVID-19 : le cas des respirateurs open source","year":2021,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Agile software development; Hacker; Context (archaeology); Open source","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001647214,0.0001901287,0.0003055067,0.00009161833,0.0004921554,0.0002665778,0.0001302774,0.0002714807,0.001548954],"category_scores_gemma":[0.002622007,0.0002046145,0.0001555018,0.0003898306,0.0003887877,0.0001982151,0.0001452606,0.0003848159,0.0002599845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004841504,"about_ca_system_score_gemma":0.002770839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005929622,"about_ca_topic_score_gemma":0.001829188,"domain_scores_codex":[0.9973928,0.001348827,0.0002906545,0.000338712,0.0001658858,0.0004630812],"domain_scores_gemma":[0.9979072,0.001044071,0.0001054628,0.0003328427,0.0001292334,0.00048121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00287191,0.002999752,0.4652466,0.001380236,0.001122814,0.01200177,0.01632703,0.01049118,0.04345544,0.05459184,0.2356025,0.1539089],"study_design_scores_gemma":[0.003847181,0.0001444656,0.06189745,0.0002429529,0.0003051875,0.001503455,0.001843467,0.001905595,0.001775245,0.001214127,0.9250984,0.0002224408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3455029,0.01724999,0.2233779,0.153127,0.003104372,0.0015867,0.000170699,0.0004015424,0.255479],"genre_scores_gemma":[0.8810322,0.0007716069,0.0006389502,0.006264406,0.0005383635,0.0000526533,0.00004243053,0.00005219428,0.1106071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6894959,"threshold_uncertainty_score":0.9993638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045581090963565,"score_gpt":0.3550393785052374,"score_spread":0.3094582875416724,"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."}}