{"id":"W4230107263","doi":"10.7202/1045565ar","title":"IMMOBILIER","year":2008,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005164726,0.0004897532,0.0006357215,0.000176875,0.0004065083,0.0000491392,0.0004684675,0.0004326014,0.006637793],"category_scores_gemma":[0.0005298241,0.0005975998,0.0003989297,0.0008227971,0.0005539161,0.0004969495,0.0002155976,0.0005849669,0.1826911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007928369,"about_ca_system_score_gemma":0.0003313811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009444785,"about_ca_topic_score_gemma":0.0001646608,"domain_scores_codex":[0.9968635,0.0003153169,0.0006398173,0.0007721373,0.0003625114,0.001046738],"domain_scores_gemma":[0.9976956,0.0002546562,0.0002484204,0.001170149,0.0002292387,0.0004019349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000449786,0.003292136,0.1102118,0.0008904192,0.0007498761,0.007471459,0.01686233,0.004303814,0.01717893,0.07133051,0.7553598,0.0118992],"study_design_scores_gemma":[0.001273321,0.0001359979,0.04697619,0.0002381614,0.0001928707,0.003503521,0.00005609365,0.003738218,0.0005596454,0.0003912385,0.942212,0.0007226774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849732,0.04008619,0.0004313612,0.01711886,0.0134025,0.001033198,0.0005861465,0.0004751591,0.04189333],"genre_scores_gemma":[0.8415535,0.003083536,0.003751265,0.0004986136,0.0067696,0.00005505233,0.00009248624,0.000428967,0.143767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1868523,"threshold_uncertainty_score":0.9996476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695409193223111,"score_gpt":0.2119558992387051,"score_spread":0.1850018073064739,"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."}}