{"id":"W4205833876","doi":"10.7202/1044796ar","title":"TABLE DE LA LÉGISLATION","year":2010,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Autorité des Marchés Financiers","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001435853,0.00007168861,0.0000936342,0.00005266428,0.0005337851,0.0000665515,0.0001642547,0.000571558,0.002275577],"category_scores_gemma":[0.0008180839,0.00008568328,0.00004158384,0.0003007229,0.000373323,0.0004433098,0.00002779176,0.000717924,0.001443014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005183621,"about_ca_system_score_gemma":0.0001572126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010396,"about_ca_topic_score_gemma":0.0006302486,"domain_scores_codex":[0.9992376,0.0001647774,0.0001584039,0.00009526942,0.00008251528,0.0002614641],"domain_scores_gemma":[0.9994045,0.0002442095,0.0001182113,0.00012743,0.00005493427,0.00005067315],"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":[0.000003490162,0.00002535331,0.01547599,0.00002282438,0.000009037579,0.000004111779,0.01518927,0.0002870441,0.0003158385,0.9357026,0.002604045,0.03036037],"study_design_scores_gemma":[0.0001406621,0.00001233725,0.006286778,0.00002327765,0.00001772507,0.0000208013,0.0007192721,0.005880703,0.0001255186,0.01231041,0.9743522,0.000110356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5624138,0.0004421182,0.005360171,0.03018507,0.005248104,0.0001779171,0.000006223885,0.0002318518,0.3959348],"genre_scores_gemma":[0.9670464,0.0001593216,0.003084114,0.0002374398,0.001129731,0.000006534977,0.000008794581,0.000007451154,0.0283202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9717481,"threshold_uncertainty_score":0.9993345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005920944536694122,"score_gpt":0.2566772597738401,"score_spread":0.250756315237146,"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."}}