{"id":"W4233151031","doi":"10.7202/1069818ar","title":"TABLE DE LA LÉGISLATION","year":2019,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hydro-Québec","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001174425,0.00007042834,0.0001097941,0.00005170025,0.0002763796,0.00005286335,0.0001441105,0.0004145542,0.003236601],"category_scores_gemma":[0.0002823686,0.00008446622,0.00004392284,0.0003147203,0.0001629108,0.0004729976,0.00002907127,0.0003347592,0.00629554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281581,"about_ca_system_score_gemma":0.0001383785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007617797,"about_ca_topic_score_gemma":0.00007076195,"domain_scores_codex":[0.9991611,0.0002333186,0.0001568017,0.0001019401,0.00008872616,0.0002580841],"domain_scores_gemma":[0.9994392,0.0002355697,0.0001208923,0.0001239975,0.00004411093,0.00003621201],"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":[0.000006385839,0.00002363099,0.05365336,0.0000586222,0.00001481154,0.000002880612,0.01903664,0.002582133,0.00006029325,0.9051015,0.002443068,0.0170167],"study_design_scores_gemma":[0.0002080801,0.00002450663,0.007167282,0.00006747956,0.00001637128,0.00001082886,0.001540162,0.01087669,0.00004766985,0.006819109,0.9731018,0.000120051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4907354,0.001055045,0.002897049,0.01562185,0.002682902,0.0002284769,0.000004285995,0.0001575095,0.4866175],"genre_scores_gemma":[0.9185505,0.0002735297,0.0009687907,0.0002696774,0.0004511215,0.000004237152,0.000009351914,0.000007045025,0.07946576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9706587,"threshold_uncertainty_score":0.9976746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005771065377536034,"score_gpt":0.2450816861090959,"score_spread":0.2393106207315599,"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."}}