{"id":"W6936832170","doi":"10.58079/uafq","title":"SEMINAIRE CONVENTIONS","year":2014,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Work (physics); Class (philosophy); Margin (machine learning)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007502582,0.0001618109,0.0002097593,0.0001033091,0.002791648,0.0002290992,0.0002585634,0.0001362084,0.004937629],"category_scores_gemma":[0.0003201877,0.0001591907,0.0001576785,0.0004345062,0.0004846914,0.005009655,0.00008278579,0.0001538855,0.001590653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351658,"about_ca_system_score_gemma":0.0001296052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004808005,"about_ca_topic_score_gemma":0.01026576,"domain_scores_codex":[0.9981257,0.0002735747,0.0003147092,0.0003357249,0.0005532796,0.0003970632],"domain_scores_gemma":[0.9988173,0.0001871605,0.0001476359,0.0002756398,0.0003386627,0.0002336297],"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":[0.000006918278,0.00008334612,0.0001657807,0.000009786546,0.00002323818,0.000003862794,0.0005701073,0.00002751319,0.00002836535,0.9360569,0.0591102,0.003914047],"study_design_scores_gemma":[0.0004458855,0.00006542987,0.01643773,0.0000555591,0.00004521675,0.000005174831,0.001583101,0.00006943094,0.00009328808,0.009866937,0.9710699,0.0002623541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006749169,0.000201566,0.005455511,0.1796389,0.003385473,0.0007349348,0.0001236704,0.000339796,0.803371],"genre_scores_gemma":[0.9663363,0.0001352103,0.0005863484,0.009068936,0.001663199,0.0001857975,0.0002870753,0.00001864573,0.02171849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9595872,"threshold_uncertainty_score":0.9991867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697382552923012,"score_gpt":0.2824169069310459,"score_spread":0.2654430814018158,"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."}}