{"id":"W4229755919","doi":"10.1017/s0317167100119869","title":"Advertisers Index","year":2005,"lang":"fr","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Content (measure theory); Advertising; Computer science; Business; Mathematics; 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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007263802,0.0005381739,0.0007756752,0.00111782,0.011513,0.001301804,0.003065697,0.0005061688,0.001616726],"category_scores_gemma":[0.002490724,0.0003980572,0.0006122725,0.003292802,0.03535534,0.00314005,0.0001267196,0.002164225,0.0000416332],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016114,"about_ca_system_score_gemma":0.009525226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01296756,"about_ca_topic_score_gemma":0.5136631,"domain_scores_codex":[0.9911339,0.002225091,0.001485425,0.0007154904,0.001595694,0.002844399],"domain_scores_gemma":[0.9926441,0.0008716052,0.001282598,0.0001898422,0.0009477047,0.004064161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001114541,0.0001612966,0.7663848,0.00002361038,0.0001052461,0.00900757,0.008405324,0.041163,0.000006421224,0.0514471,0.03043696,0.09274723],"study_design_scores_gemma":[0.0006017979,0.04372591,0.08546307,0.0001519023,0.0001651203,0.02174693,0.002950724,0.003601412,0.00001410808,0.02904532,0.8116506,0.0008831561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8306677,0.02233749,0.00004365398,0.1048623,0.005434767,0.0001922736,0.00002405273,0.00002158943,0.03641619],"genre_scores_gemma":[0.9817593,0.00429539,0.001938332,0.007175554,0.003120448,0.000002249234,2.126891e-7,0.00001942534,0.001689055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7812136,"threshold_uncertainty_score":0.9998471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387403224152111,"score_gpt":0.2869348269177805,"score_spread":0.2530607946762594,"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."}}