{"id":"W4398542399","doi":"10.7910/dvn/pkjufn/8yicxi","title":"FCC2002.131.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Biology; Cell biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004314576,0.0009751512,0.001010209,0.0002590865,0.0001971812,0.0002987837,0.002661969,0.0006318984,0.2292881],"category_scores_gemma":[0.001265605,0.001037834,0.0003367241,0.000589887,0.0002609364,0.0006035593,0.00166295,0.001456422,0.9946398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030959,"about_ca_system_score_gemma":0.0003192775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004534304,"about_ca_topic_score_gemma":0.0004005897,"domain_scores_codex":[0.9950553,0.0002837,0.0007236648,0.001482613,0.001522676,0.0009320102],"domain_scores_gemma":[0.9944479,0.0001567526,0.0005352494,0.004036625,0.00009455111,0.0007289245],"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":[0.0002015175,0.0001480935,0.000002299036,0.0002544604,0.0002594329,0.001312778,0.00002260083,0.00000373066,0.0001102972,0.00001652787,0.997568,0.0001002542],"study_design_scores_gemma":[0.001038977,0.00008284595,0.00001209596,0.0001288275,0.00060582,0.00005866565,0.00005739788,0.00002436789,0.00004404999,0.0000119038,0.996851,0.001084085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001856174,7.046681e-7,0.000008364962,0.000007173492,0.001147072,0.0006199649,0.9969144,0.0004488718,0.0008516011],"genre_scores_gemma":[0.000001999208,0.0001772798,0.0003773273,0.001357516,0.001240438,0.00006122235,0.9960397,0.0002539652,0.0004904818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7653517,"threshold_uncertainty_score":0.9992072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253346010349726,"score_gpt":0.2544477224161158,"score_spread":0.2291131213811432,"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."}}