{"id":"W7004816825","doi":"","title":"Q&amp;A","year":2012,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Action (physics); Relation (database); Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001274933,0.0001030436,0.0001229839,0.00002518531,0.0001085119,0.00000906043,0.00009709422,0.00005920609,0.000004829643],"category_scores_gemma":[0.00006940927,0.00009100737,0.00009565493,0.00005066446,0.00008811667,0.000003780135,0.0001725227,0.00004658445,0.00002533728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001874144,"about_ca_system_score_gemma":0.000008626011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009176737,"about_ca_topic_score_gemma":0.000006925975,"domain_scores_codex":[0.9993594,0.00004013426,0.0001384401,0.0001694222,0.00008883179,0.0002038294],"domain_scores_gemma":[0.9994248,0.000008204099,0.00005341829,0.000381023,0.00008126206,0.00005133752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007968143,0.00005198881,0.0187357,0.00001124492,0.0002476976,0.000001868649,0.0001570962,4.749999e-7,0.8485853,0.00001678587,0.1314215,0.0007623011],"study_design_scores_gemma":[0.00005158526,0.00002756755,0.00227166,0.000004040226,0.00004313328,0.00002022263,0.0001306419,3.083126e-7,0.5659849,0.000007663844,0.4313445,0.0001137447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954096,0.03753812,0.0006032526,0.00005080195,0.0002463471,0.0001134624,5.44838e-7,0.00007459099,0.06596328],"genre_scores_gemma":[0.9819856,0.0007500821,0.001350332,0.0002083528,0.0008011241,0.000029728,0.00001214765,0.00001476966,0.01484791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.299923,"threshold_uncertainty_score":0.3711173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058362998183369,"score_gpt":0.3177003265853701,"score_spread":0.2971166966035365,"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."}}