{"id":"W4390641771","doi":"10.4000/communication.18311","title":"Émilien SCHULTZ et Matthias BUSSONNIER (2020), Python pour les SHS. Introduction à la programmation pour le traitement de données","year":2023,"lang":"fr","type":"article","venue":"Communication","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007372844,0.001588506,0.0007709331,0.002102416,0.001433783,0.003311208,0.002194997,0.002295234,0.02310708],"category_scores_gemma":[0.0143073,0.001508596,0.001041127,0.002535763,0.002438334,0.009619905,0.005145861,0.006500268,0.02712522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023683,"about_ca_system_score_gemma":0.002765249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252763,"about_ca_topic_score_gemma":0.003450235,"domain_scores_codex":[0.9952513,0.001084215,0.000285631,0.0007469828,0.002302693,0.0003291643],"domain_scores_gemma":[0.9941165,0.002309238,0.0003384616,0.0007642208,0.001492829,0.000978704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003520078,0.000127451,0.001055354,0.0006242282,0.00007098818,0.0001769407,0.000545554,0.001860126,0.006432114,0.08513993,0.6700356,0.2335796],"study_design_scores_gemma":[0.00007155177,0.00005126671,0.00113032,0.0002016049,0.00002906561,0.0004532521,0.00009441827,0.008856104,0.01119469,0.06181842,0.9159611,0.0001381616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004423722,0.02043393,0.8350395,0.05450424,0.01090053,0.0001721939,0.004112684,0.05324648,0.01716679],"genre_scores_gemma":[0.04292446,0.03546259,0.6391801,0.02120426,0.01173512,0.0009787142,0.01227429,0.05252597,0.1837144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02310708,"threshold_uncertainty_score":0.07730091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055467287261404,"score_gpt":0.3107828462354327,"score_spread":0.2602281733628186,"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."}}