{"id":"W7098661890","doi":"","title":"64 The George Wright FORUM","year":2015,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Wright; Commission; Taiga","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":[0.0001634756,0.00006606277,0.00005483529,0.00001357721,0.00003383634,0.00002066524,0.0001902164,0.00005335605,0.00006015423],"category_scores_gemma":[0.00004204413,0.00003854264,0.00006370513,0.0000524367,0.00004403798,0.000001504067,0.0001255566,0.00003686145,0.00005455095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005187767,"about_ca_system_score_gemma":0.00002548165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005814302,"about_ca_topic_score_gemma":0.0001331466,"domain_scores_codex":[0.9995399,0.00002463448,0.00008254158,0.000144996,0.00007877557,0.0001291988],"domain_scores_gemma":[0.9994451,0.000003366952,0.00002329603,0.000411654,0.0000684758,0.00004812996],"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":[0.00001050257,0.00002731459,0.00150579,8.764502e-7,0.00003727395,0.000001994837,0.00001411709,0.000001603084,0.2255904,0.0004484662,0.7689045,0.003457136],"study_design_scores_gemma":[0.00006153742,0.00003632749,0.00003583269,3.744066e-7,0.000007961857,0.000004092003,0.00006370879,0.00004361774,0.4543513,0.000321525,0.545024,0.00004962982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2190935,0.002149968,0.06133975,0.006343049,0.00008903307,0.0004185784,0.000002958377,0.0001654328,0.7103977],"genre_scores_gemma":[0.9601797,0.00006172327,0.001492819,0.002118476,0.0001274923,0.00001444468,0.00004020215,0.0000119172,0.03595322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7410862,"threshold_uncertainty_score":0.1571723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831435746456039,"score_gpt":0.2591077781235484,"score_spread":0.2492763423770924,"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."}}