{"id":"W4406565189","doi":"10.1016/j.ypdi.2013.01.033","title":"10.1016/j.ypdi.2013.01.033","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Class (philosophy); ROS1; Lung cancer; Lung; Oncology; Computational biology; Internal medicine; Cancer; Adenocarcinoma; Artificial intelligence; Biology; 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":[0.0007309619,0.001040613,0.0005911359,0.001596164,0.0007955491,0.003017202,0.0009876023,0.003107354,0.8649472],"category_scores_gemma":[0.001440814,0.0004228633,0.0005910881,0.0008908814,0.0007948652,0.001863295,0.001238817,0.001872675,0.8057768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009990747,"about_ca_system_score_gemma":0.001253081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011244,"about_ca_topic_score_gemma":0.00188558,"domain_scores_codex":[0.999709,0.00002525416,0.00002370702,0.00008129521,0.00008161175,0.00007917388],"domain_scores_gemma":[0.9991519,0.0001617835,0.0001124136,0.00005523621,0.0001464349,0.0003722651],"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":[0.0003831607,0.0002698359,0.0095684,0.0004415232,0.00005663588,0.00058407,0.0001038802,0.0002752572,0.001021711,0.005515249,0.3436069,0.6381733],"study_design_scores_gemma":[0.00008940255,0.0001169857,0.007495549,0.0007712007,0.00005661464,0.003843935,0.00024405,0.0002855498,0.0006669493,0.005171243,0.9812277,0.00003083826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00887967,0.02715268,0.003835183,0.01869265,0.00376826,0.0001350036,0.008167259,0.002396259,0.926973],"genre_scores_gemma":[0.02399702,0.009067616,0.002467435,0.003740643,0.001237226,0.00009651078,0.004063839,0.0004206003,0.9549091],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1350528,"threshold_uncertainty_score":0.1926364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006515690751570662,"score_gpt":0.2374162826423253,"score_spread":0.2309005918907546,"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."}}