{"id":"W4406443458","doi":"10.1016/s0246-0610(05)18812-4","title":"10.1016/s0246-0610(05)18812-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Scanner; Computer science; Artificial intelligence","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":[0.001232856,0.002740736,0.001916296,0.002633011,0.002569912,0.00427792,0.00365408,0.005857933,0.9901545],"category_scores_gemma":[0.001681816,0.001045119,0.001812617,0.002657096,0.002041718,0.004730946,0.003097832,0.003042393,0.9930821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135007,"about_ca_system_score_gemma":0.00128999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004345294,"about_ca_topic_score_gemma":0.003517991,"domain_scores_codex":[0.9992717,0.00004413416,0.000053433,0.000288709,0.0001961989,0.0001457497],"domain_scores_gemma":[0.9974873,0.0005526229,0.0001594923,0.0002878485,0.0005924031,0.0009203416],"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":[0.0003649516,0.000194234,0.0005997304,0.0005710901,0.00003584353,0.0001907498,0.00009229586,0.0003385235,0.002200942,0.006029465,0.3522513,0.637131],"study_design_scores_gemma":[0.00004262742,0.00008129021,0.000488888,0.0002085201,0.000009393285,0.0002300712,0.00006620511,0.0001170935,0.0002830475,0.0004139842,0.9980415,0.00001740262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003601737,0.00049849,0.0007252737,0.0004618697,0.0003849373,0.0001177546,0.0008561981,0.0009273172,0.9956679],"genre_scores_gemma":[0.0004117478,0.0001708723,0.0003187046,0.0001803376,0.00006821538,0.00004947242,0.0003667295,0.0001319835,0.9983019],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009845495,"threshold_uncertainty_score":0.01404333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003891099562939417,"score_gpt":0.1787936410526319,"score_spread":0.1749025414896925,"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."}}