{"id":"W7038946700","doi":"","title":"Kelab basikal UNIMAS derma RM1,630","year":2013,"lang":"en","type":"other","venue":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"MEDLINE; Identification (biology); Public health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0002705617,0.001751336,0.001379376,0.002968791,0.001396948,0.0003557636,0.002108946,0.001752376,0.01376791],"category_scores_gemma":[0.00007668125,0.002068861,0.0007053853,0.001577743,0.002656734,0.001389815,0.0008444634,0.001599625,0.02809668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973831,"about_ca_system_score_gemma":0.002457379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148046,"about_ca_topic_score_gemma":0.00004951418,"domain_scores_codex":[0.9927979,0.0004843186,0.000837388,0.002144601,0.00216803,0.001567813],"domain_scores_gemma":[0.9951249,0.0001500158,0.001177054,0.002003437,0.000572874,0.0009717474],"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":[0.0001832173,0.0004681698,0.001259692,0.0002508112,0.001239343,0.005823812,0.0001490594,0.002997305,0.004409635,0.1890521,0.7938921,0.0002747059],"study_design_scores_gemma":[0.002316057,0.0001443332,0.001083846,0.0009361238,0.0006368204,0.002127506,0.0005186964,0.004906097,0.0004012215,0.000170679,0.9844275,0.002331091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01096179,0.001786066,0.0007508074,0.0002045794,0.002869267,0.001350361,0.0008909134,0.002307193,0.978879],"genre_scores_gemma":[0.07852545,0.0001132659,0.003160373,0.0003158425,0.002345838,0.00005571072,0.001482075,0.00165899,0.9123424],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1905354,"threshold_uncertainty_score":0.9999031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007863175931575433,"score_gpt":0.1959661790327693,"score_spread":0.1881030031011939,"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."}}