{"id":"W1137697353","doi":"10.71781/18358","title":"Comparaisons intersexes dans l'estimation des distances","year":2008,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002887351,0.0004067939,0.001141659,0.0002748884,0.0006007272,0.0004804298,0.0009442451,0.0002869637,0.006817899],"category_scores_gemma":[0.0000787502,0.0005120187,0.0003803363,0.0002997075,0.0004084455,0.0008363635,0.0001039772,0.0002501844,0.005522292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003895651,"about_ca_system_score_gemma":0.0001126744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006322159,"about_ca_topic_score_gemma":0.02546785,"domain_scores_codex":[0.9973776,0.00003902304,0.001290287,0.0008618032,0.00005408577,0.0003771368],"domain_scores_gemma":[0.9980497,0.0001065042,0.001252872,0.0003865117,0.00006670468,0.0001377123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000563895,0.00139009,0.2708029,0.0003427932,0.002661014,0.00008590239,0.09631617,0.03241614,0.00006618062,0.05081635,0.007104645,0.5374339],"study_design_scores_gemma":[0.001684436,0.0003553901,0.1406626,0.001022523,0.0003823548,0.00004745839,0.02370384,0.3043786,0.0007434462,0.01447864,0.5098686,0.002672204],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8053274,0.003908173,0.01105212,0.0003823223,0.0009278752,0.0004154292,0.0006837766,0.000002192504,0.1773007],"genre_scores_gemma":[0.8584515,0.002613846,0.01503878,0.00003737204,0.0001301139,0.0000602351,0.002851959,0.00004361993,0.1207725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5347617,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07844117766701944,"score_gpt":0.2892657553262378,"score_spread":0.2108245776592183,"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."}}