{"id":"W7068736062","doi":"","title":"Fenner Street","year":2015,"lang":"en","type":"article","venue":"Digital Commons @ Butler University (Butler University)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Sight; Foot (prosody); Quarter (Canadian coin); Work (physics); Front (military)","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":[0.00005923795,0.0001986216,0.0001520653,0.0002439767,0.0001699225,0.00005803451,0.0005594117,0.0001781467,0.00004190321],"category_scores_gemma":[0.00002763346,0.0002359473,0.000136904,0.0004476745,0.0001633365,0.00006213001,0.0004294192,0.000136073,0.00008940863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337218,"about_ca_system_score_gemma":0.0002105797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000479983,"about_ca_topic_score_gemma":0.0001527084,"domain_scores_codex":[0.998916,0.00006913036,0.00009412487,0.000437399,0.0002002339,0.0002831554],"domain_scores_gemma":[0.9988214,0.00001081244,0.00008463607,0.0005280845,0.0002076137,0.0003473942],"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":[0.003206252,0.001709634,0.185555,0.00005817276,0.0008042308,0.0006397655,0.0008329893,0.0009016823,0.05248382,0.04034093,0.688911,0.02455657],"study_design_scores_gemma":[0.001312056,0.0001471728,0.003046315,0.00001038369,0.00002968316,0.00000485348,0.003588032,0.0000244377,0.003555041,0.00005803055,0.9878944,0.0003296015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6698393,0.00008029748,0.004630086,0.0005845919,0.0002725629,0.0002140899,0.0002185408,0.0001055692,0.324055],"genre_scores_gemma":[0.9462406,0.00003127002,0.0001010273,0.00006267682,0.00006791388,1.327147e-7,0.0003292426,0.00001726532,0.05314986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2989834,"threshold_uncertainty_score":0.9621651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465043941133094,"score_gpt":0.2034339558017832,"score_spread":0.1787835163904523,"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."}}