{"id":"W26580578","doi":"10.1021/acs.jnatprod.5b00574","title":"Séduire : tirer à l’écart, corrompre","year":2004,"lang":"en","type":"article","venue":"Liberté","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Norges Forskningsråd","keywords":"Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160368,0.001088895,0.0006638077,0.001266765,0.001332119,0.002940743,0.001090669,0.002586482,0.2264724],"category_scores_gemma":[0.005963997,0.0003197274,0.000493149,0.0005622834,0.001683258,0.002388139,0.002023498,0.003067908,0.1321439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127378,"about_ca_system_score_gemma":0.001221403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566335,"about_ca_topic_score_gemma":0.005162701,"domain_scores_codex":[0.9987723,0.0002659595,0.00006418432,0.0002936243,0.0004364176,0.0001675151],"domain_scores_gemma":[0.9979569,0.0005016781,0.0001977881,0.000194283,0.0008055334,0.000343745],"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":[0.0002019667,0.00009329327,0.001761507,0.0006166459,0.00003320414,0.002460353,0.0007365407,0.0001523952,0.002707111,0.01571105,0.6004793,0.3750467],"study_design_scores_gemma":[0.000006282977,0.00002283967,0.0007924734,0.0001681804,0.000005689963,0.001853776,0.0003082095,0.00006167782,0.0005577111,0.001113618,0.9950971,0.00001242385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01529578,0.1449022,0.009855414,0.2221688,0.05015702,0.0001982019,0.001265094,0.002307976,0.5538495],"genre_scores_gemma":[0.04525194,0.04647964,0.006168116,0.02887487,0.005835251,0.00009178344,0.0003887303,0.0008311764,0.8660786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2264724,"threshold_uncertainty_score":0.7576255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309242996115696,"score_gpt":0.3849966687401459,"score_spread":0.3419042387789889,"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."}}