{"id":"W4406563033","doi":"10.1016/j.bjorlp.2018.01.023","title":"10.1016/j.bjorlp.2018.01.023","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resection; Computer science; Artificial intelligence; Medicine; Surgery","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":[0.0006811201,0.0008713781,0.0005228056,0.001655462,0.0008313432,0.002141022,0.0008396219,0.002922936,0.7475933],"category_scores_gemma":[0.001981622,0.0003869341,0.0005738105,0.0007559133,0.000760138,0.001986516,0.001054907,0.0017897,0.6230786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487388,"about_ca_system_score_gemma":0.001151094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675955,"about_ca_topic_score_gemma":0.003873637,"domain_scores_codex":[0.9995885,0.00004112047,0.00004184358,0.00007856012,0.000104174,0.0001457546],"domain_scores_gemma":[0.9989524,0.0002159246,0.0001567685,0.00003805288,0.0001787295,0.000458175],"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":[0.0005601927,0.0006050087,0.03091758,0.0007215672,0.00008065763,0.002770307,0.0001308227,0.0002630578,0.000949619,0.003035845,0.3256107,0.6343547],"study_design_scores_gemma":[0.0001118098,0.0003107257,0.02247931,0.002651196,0.0001142563,0.03149331,0.0006075086,0.0003920987,0.0007577137,0.005539567,0.9354813,0.00006128848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02254774,0.04690786,0.002358141,0.0224918,0.005406788,0.0001024013,0.004188123,0.00122709,0.8947701],"genre_scores_gemma":[0.06980475,0.02182281,0.002998286,0.005437685,0.002956709,0.0001046766,0.003591673,0.0004532773,0.8928301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2524067,"threshold_uncertainty_score":0.3600275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084483852463878,"score_gpt":0.1981991206619104,"score_spread":0.1873542821372716,"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."}}