{"id":"W7003674781","doi":"","title":"Page 037","year":2011,"lang":"en","type":"article","venue":"Pittsburg State University Digital Commons (Pittsburg State University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ledger; Period (music); Register (sociolinguistics); Quarter (Canadian coin)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001537082,0.0005585433,0.0004880981,0.0008267983,0.0004195107,0.0001231188,0.001319776,0.0002114767,0.0001329036],"category_scores_gemma":[0.00004909249,0.0007040426,0.0005029129,0.001032277,0.0005707649,0.0002115177,0.001237454,0.0003636446,0.00008457885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141579,"about_ca_system_score_gemma":0.000180811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004496651,"about_ca_topic_score_gemma":0.0002932017,"domain_scores_codex":[0.9973254,0.0001674419,0.000314083,0.001026754,0.0003350313,0.0008312488],"domain_scores_gemma":[0.9975973,0.0000451239,0.0002837056,0.001226257,0.0003690952,0.0004785614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01389681,0.009517107,0.2870587,0.000500291,0.009537027,0.02674829,0.01100412,0.0004511054,0.2892755,0.01451379,0.2353771,0.1021202],"study_design_scores_gemma":[0.002335964,0.0009182699,0.006541451,0.00005016944,0.0003095366,0.0000518804,0.003015511,0.00005554438,0.03766059,0.002357135,0.9448239,0.001880005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8077112,0.00009402631,0.03676334,0.00006805702,0.00007378514,0.0004980362,0.0002712917,0.0004359919,0.1540843],"genre_scores_gemma":[0.9588614,0.0007281128,0.000441779,0.00008933018,0.00003375568,4.145792e-7,0.0002858588,0.00006917048,0.03949017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7094469,"threshold_uncertainty_score":0.999541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240626332850714,"score_gpt":0.1922372270184486,"score_spread":0.1798309636899415,"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."}}