{"id":"W4235207650","doi":"10.7202/1044872ar","title":"INDEX ANALYTIQUE","year":2009,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":[0.0003309077,0.0002601586,0.0003183912,0.00002439954,0.0003075821,0.0001603763,0.0004230808,0.0003731566,0.005864686],"category_scores_gemma":[0.00008053673,0.0001028566,0.0002081248,0.0008064402,0.00007575626,0.0002620252,0.00008517564,0.0003928733,0.001797202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197043,"about_ca_system_score_gemma":0.00003327326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007874831,"about_ca_topic_score_gemma":0.0004364536,"domain_scores_codex":[0.9981722,0.0001270977,0.0003274222,0.0004394791,0.0002827245,0.0006510719],"domain_scores_gemma":[0.9992769,0.0001180732,0.00009506675,0.00008913139,0.0001488154,0.0002720499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007158583,0.0005529101,0.03539524,0.00005269397,0.00008120236,0.0002657107,0.0004196993,0.00008719707,0.010704,0.08577328,0.276975,0.5896214],"study_design_scores_gemma":[0.000116691,0.0002523292,0.5710143,0.0001002934,0.00001822117,0.00006038549,0.00008951365,0.000273714,0.000190131,0.004262998,0.4233421,0.0002793018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1877989,0.007734858,0.00009751383,0.7707316,0.001554786,0.0005263823,0.00003608179,0.0001132754,0.03140665],"genre_scores_gemma":[0.8512106,0.002891498,0.0001262271,0.001668411,0.00349274,0.000005504294,0.00008847458,0.000001400522,0.1405151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7690632,"threshold_uncertainty_score":0.99898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148066783429304,"score_gpt":0.2274138576121205,"score_spread":0.2126071792691901,"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."}}