{"id":"W2556395703","doi":"","title":"Un nouveau Code pour une procédure technologique: mémento pour le pr@ticien","year":2016,"lang":"fr","type":"article","venue":"Canadian journal of law and technology","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","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"],"consensus_categories":[],"category_scores_codex":[0.0007905757,0.0002584117,0.0004493153,0.0005093707,0.0008110086,0.00008033349,0.0009617278,0.001086347,0.0003764151],"category_scores_gemma":[0.0007200676,0.0002067447,0.000100859,0.0009971367,0.006286955,0.0003854199,0.00006467935,0.0006543627,0.0001313989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005762341,"about_ca_system_score_gemma":0.005088696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04440107,"about_ca_topic_score_gemma":0.3984331,"domain_scores_codex":[0.9976373,0.0001383982,0.0006628876,0.000328257,0.000221598,0.001011544],"domain_scores_gemma":[0.9978312,0.0001658243,0.0004561771,0.00029803,0.0005896266,0.0006591023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007010092,0.00004938088,0.001993663,0.00001166077,0.00006341405,0.0004047723,0.0007177279,0.000001851129,0.001848899,0.8994727,0.00307874,0.09235018],"study_design_scores_gemma":[0.0002224743,0.0002934238,0.00004047359,0.0002559926,0.0000486463,0.0004066406,0.003889063,0.000009072858,0.01634827,0.4192823,0.558973,0.0002306587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1848211,0.008550266,0.003448322,0.7683783,0.001378735,0.0003507848,0.00006428716,0.00009672523,0.03291155],"genre_scores_gemma":[0.9886508,0.000636464,0.002127064,0.0007616802,0.0003061282,0.000007918652,2.891044e-7,0.00002970703,0.007479975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8038297,"threshold_uncertainty_score":0.9964173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788067084291161,"score_gpt":0.2884657494470992,"score_spread":0.2605850786041876,"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."}}