{"id":"W2603828744","doi":"10.1159/000097404","title":"Contents Vol. 19, 2006","year":2006,"lang":"en","type":"article","venue":"Skin Pharmacology and Physiology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SKiN Health","funders":"","keywords":"Chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004011428,0.0008489694,0.0006818447,0.001634511,0.001013685,0.005115241,0.0009254356,0.001053353,0.4779744],"category_scores_gemma":[0.001038493,0.000256716,0.0004695775,0.001000302,0.0007672796,0.001355906,0.00126606,0.001310889,0.3023536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344456,"about_ca_system_score_gemma":0.001001813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046177,"about_ca_topic_score_gemma":0.001739474,"domain_scores_codex":[0.9997203,0.00002638252,0.00001162672,0.0000631237,0.000145381,0.00003318346],"domain_scores_gemma":[0.9995126,0.00005811513,0.0000231775,0.00006851667,0.0001859372,0.0001516194],"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":[0.0001501925,0.0001429552,0.0004292804,0.0005025033,0.0000180755,0.0001020609,0.00005377442,0.0001507649,0.003013005,0.01009453,0.8481953,0.1371474],"study_design_scores_gemma":[0.00001022317,0.00004570373,0.0008306759,0.0002326803,0.0000111058,0.0001701608,0.00004192715,0.00007703622,0.000818935,0.002062681,0.9956944,0.000004587646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002641869,0.03633251,0.001475433,0.006393021,0.03221257,0.0001148962,0.001247513,0.0005599395,0.9190223],"genre_scores_gemma":[0.006496833,0.01762787,0.0004862644,0.00124592,0.004969486,0.00002246557,0.0009374368,0.00009936968,0.9681144],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5220256,"threshold_uncertainty_score":0.7446061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528421832341624,"score_gpt":0.234744846029503,"score_spread":0.2094606277060867,"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."}}