{"id":"W4406588304","doi":"10.1016/s1541-9800(08)70524-6","title":"10.1016/s1541-9800(08)70524-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"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":[0.0008613006,0.002558282,0.001572599,0.002280889,0.001945534,0.002989341,0.002833428,0.005140823,0.9876465],"category_scores_gemma":[0.001342458,0.0007765053,0.001434347,0.001674912,0.001286943,0.003839752,0.002833675,0.002578323,0.9910601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276934,"about_ca_system_score_gemma":0.00119255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003184958,"about_ca_topic_score_gemma":0.002821565,"domain_scores_codex":[0.9994782,0.00003289824,0.00004207676,0.0001690353,0.0001483101,0.0001294823],"domain_scores_gemma":[0.998077,0.0004414419,0.0001262754,0.0001780999,0.0003508101,0.0008263836],"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":[0.0004363017,0.000275423,0.0007420712,0.000519553,0.00003137181,0.0002390303,0.00007064771,0.0003568339,0.002244327,0.003754168,0.3231675,0.6681627],"study_design_scores_gemma":[0.00008093013,0.0001435819,0.0009552686,0.0002627792,0.0000135346,0.0003849394,0.0000849934,0.0001783594,0.0004968704,0.000536993,0.9968401,0.0000217032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005080226,0.0005918568,0.000593567,0.0005474464,0.0003751459,0.000119466,0.0008274635,0.0008032735,0.9956337],"genre_scores_gemma":[0.0005068982,0.0001985615,0.000307053,0.0002204046,0.00007431894,0.00005266049,0.0004144593,0.0001117828,0.9981139],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01235354,"threshold_uncertainty_score":0.01762074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764804893609909,"score_gpt":0.267961308890264,"score_spread":0.2503132599541649,"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."}}