{"id":"W2739159483","doi":"10.4000/communication.7327","title":"Faire compter les machines","year":2017,"lang":"fr","type":"article","venue":"Communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001404917,0.000142811,0.0001388258,0.00002245982,0.00151907,0.004380683,0.002373283,0.00009309712,0.0001165684],"category_scores_gemma":[0.0001277408,0.0001150974,0.00007712971,0.0000417999,0.0004280602,0.004535108,0.001444813,0.0001913054,0.0002995262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071745,"about_ca_system_score_gemma":0.00002836771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005340386,"about_ca_topic_score_gemma":0.001196265,"domain_scores_codex":[0.9992169,0.00009355237,0.000185528,0.0001780613,0.0001297154,0.0001962841],"domain_scores_gemma":[0.9964268,0.00006795256,0.0002397034,0.002985172,0.0001715675,0.000108805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003478065,0.0001059438,0.001288267,0.00002455923,0.00001676974,0.000006660456,0.001407267,0.00001143294,0.0001302091,0.430008,0.05865789,0.5083395],"study_design_scores_gemma":[0.0003431329,0.00006219919,0.1488776,0.0003707127,0.00001829834,0.00007433931,0.00003923782,0.03328235,0.0003895189,0.08115795,0.7350421,0.0003425759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0273495,0.09229547,0.009256536,0.1937795,0.001637053,0.0002871479,0.00002470442,0.0001663878,0.6752037],"genre_scores_gemma":[0.943247,0.001912244,0.004242251,0.0004289912,0.000106295,0.000004114068,0.00002445689,0.000008366686,0.05002633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9158974,"threshold_uncertainty_score":0.9997808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4246444258666083,"score_gpt":0.375412439061694,"score_spread":0.04923198680491431,"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."}}