{"id":"W4234713287","doi":"10.3410/f.729075065.793536004","title":"Faculty Opinions recommendation of Feedback regulation of steady-state epithelial turnover and organ size.","year":2017,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Turnover intention; Turnover; Computer science; Chemistry; Psychology; Social psychology; Economics; Management; Job satisfaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008533814,0.0003428308,0.0006335679,0.0001163445,0.000145103,0.0000718065,0.001059028,0.0006130419,0.0001817823],"category_scores_gemma":[0.007574609,0.0002289734,0.0003588241,0.0004578193,0.0005915372,0.00003210893,0.0006745042,0.0004940043,0.000006714968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004028467,"about_ca_system_score_gemma":0.0005227117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000785469,"about_ca_topic_score_gemma":0.00001954042,"domain_scores_codex":[0.9970397,0.0002232111,0.0009934356,0.0005653509,0.0009172507,0.0002610541],"domain_scores_gemma":[0.9931552,0.00007138184,0.001257047,0.001292589,0.004016062,0.0002077539],"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":[0.00007718687,0.0001553446,0.000009280087,0.00409841,0.0001182651,5.396586e-8,0.0000294118,3.577548e-8,0.002341504,0.00001611432,0.9886709,0.004483419],"study_design_scores_gemma":[0.0007630367,0.0001867842,0.004178651,0.003648728,0.00008493508,0.00001286413,0.000009024301,0.000001954068,0.006427702,0.00003061199,0.9844335,0.0002221953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000564402,0.001086177,0.0000119136,0.03644397,0.0003264557,0.0007765676,0.9612403,0.000005460896,0.00005271169],"genre_scores_gemma":[0.0003517128,0.001077799,0.0002004573,0.000580865,0.0002838811,0.00005220636,0.9959397,0.00001968149,0.001493718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03586311,"threshold_uncertainty_score":0.9337265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409759012700912,"score_gpt":0.3651659394343867,"score_spread":0.3410683493073776,"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."}}