{"id":"W7004920287","doi":"","title":"Canadian sunset","year":2018,"lang":"en","type":"other","venue":"YorkSpace (York University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sunset; Atmosphere (unit); Government (linguistics)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005293706,0.0002474315,0.0002045412,0.0006451136,0.00007260738,0.00002857562,0.0005329601,0.0006114638,0.002469087],"category_scores_gemma":[0.00001686831,0.0003006454,0.0001520936,0.0003365236,0.0001280846,0.000001684008,0.0001264485,0.0001090942,0.0004423848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083409,"about_ca_system_score_gemma":0.0003347191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09575341,"about_ca_topic_score_gemma":0.7031901,"domain_scores_codex":[0.9989814,0.00005357664,0.00006194588,0.0004832677,0.00009540498,0.0003243674],"domain_scores_gemma":[0.9988724,0.000002925279,0.0001089884,0.0007327256,0.00004673653,0.0002361959],"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":[0.000007014708,0.000009778817,0.0002924051,0.000007885888,0.0001356915,0.00005321962,0.000006746522,2.560989e-7,0.0008244635,0.0000688934,0.9983847,0.000208966],"study_design_scores_gemma":[0.0001198514,0.00005532248,0.00001014772,0.00003554485,0.00008805649,0.000003811753,0.00007665424,0.00000168913,0.002048881,0.000003719046,0.9972254,0.0003308924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001119915,0.0003491972,0.0006446049,0.0001113495,0.00005587886,0.000148691,0.0000338155,0.0001146482,0.9984298],"genre_scores_gemma":[0.001029016,0.0005244937,0.001340762,0.0001637384,0.0003982489,5.358568e-7,0.0004700767,0.0002187935,0.9958543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6074367,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004121407514002031,"score_gpt":0.190672380201945,"score_spread":0.186550972687943,"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."}}