{"id":"W2055219877","doi":"10.1097/jto.0b013e318292bdcd","title":"Biostatistics Primer: What a Clinician Ought to Know—Prognostic and Predictive Factors","year":2013,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Eli Lilly (Canada)","funders":"","keywords":"Medicine; Disease; Oncology; Internal medicine; Identification (biology); Stage (stratigraphy); Biostatistics; Bioinformatics; Epidemiology","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":[],"consensus_categories":[],"category_scores_codex":[0.03978843,0.001529705,0.002647254,0.003912844,0.002079086,0.006311116,0.003911062,0.01261603,0.005847629],"category_scores_gemma":[0.1224204,0.001642001,0.001484281,0.001836751,0.008944009,0.01091467,0.003673823,0.03529017,0.005465362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278203,"about_ca_system_score_gemma":0.0123532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687616,"about_ca_topic_score_gemma":0.004198582,"domain_scores_codex":[0.9876361,0.007075245,0.001959665,0.0006629552,0.002320707,0.0003452482],"domain_scores_gemma":[0.8402554,0.125071,0.004054461,0.003987448,0.01903626,0.00759539],"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":[0.0001551519,0.0002356104,0.003664678,0.001464134,0.0001660427,0.0008069344,0.001383586,0.0009191151,0.0008415715,0.04223301,0.7437826,0.2043475],"study_design_scores_gemma":[0.0002467983,0.0001770713,0.002966748,0.006226537,0.000222298,0.005063908,0.001484859,0.003321621,0.0009777243,0.3385261,0.6405439,0.0002423879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0005281256,0.02864031,0.07879686,0.8709886,0.01618779,0.0001740337,0.0003853021,0.0006586034,0.003640383],"genre_scores_gemma":[0.01807351,0.03990789,0.2690785,0.5879188,0.0759062,0.001032136,0.0006017864,0.0009154819,0.006565826],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03978843,"threshold_uncertainty_score":0.2104238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192992709996171,"score_gpt":0.392681153750278,"score_spread":0.3707512266503163,"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."}}