{"id":"W4406549140","doi":"10.1016/s1241-8234(06)43732-9","title":"10.1016/s1241-8234(06)43732-9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001240194,0.002987123,0.001986298,0.00296384,0.002388902,0.003448102,0.003282425,0.006970261,0.9912743],"category_scores_gemma":[0.001946491,0.001039529,0.001643993,0.002268322,0.001595691,0.005149314,0.003502788,0.00271543,0.9932485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128348,"about_ca_system_score_gemma":0.0013406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821918,"about_ca_topic_score_gemma":0.004180427,"domain_scores_codex":[0.9992062,0.00006338046,0.00007724668,0.0002414877,0.0002122454,0.000199338],"domain_scores_gemma":[0.9976335,0.0006092603,0.0001511369,0.0002129212,0.0004635717,0.0009296335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003586215,0.0003125197,0.00103538,0.0006507026,0.00003278105,0.0002259262,0.00009363342,0.0003382486,0.001190127,0.003261855,0.3648832,0.627617],"study_design_scores_gemma":[0.00007317511,0.0001465734,0.001130186,0.0004613882,0.00001552573,0.0003848801,0.0001196523,0.0001721427,0.0002847326,0.0004970287,0.9966879,0.00002682239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004430116,0.0005011959,0.0004141524,0.0004757521,0.0003125259,0.0001132549,0.0008305421,0.0006640719,0.9962454],"genre_scores_gemma":[0.0005254304,0.0002384674,0.0003021816,0.0002615647,0.00008348909,0.00006636813,0.0004404786,0.000118578,0.9979633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008725703,"threshold_uncertainty_score":0.01244617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105013088156089,"score_gpt":0.2415714940593667,"score_spread":0.2310701852437578,"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."}}