{"id":"W4398629704","doi":"10.7910/dvn/pkjufn/mqwqku","title":"FCC2001.126.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00115568,0.003655811,0.001886894,0.004351248,0.001250307,0.003712225,0.003975994,0.003267738,0.1008916],"category_scores_gemma":[0.005285115,0.0009245754,0.001645392,0.007310726,0.0006276081,0.00197481,0.002336946,0.00201688,0.2067219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809872,"about_ca_system_score_gemma":0.002349507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03508553,"about_ca_topic_score_gemma":0.05731178,"domain_scores_codex":[0.9987373,0.0002230141,0.0001267507,0.0003902474,0.0002541066,0.0002686474],"domain_scores_gemma":[0.9979849,0.0003869203,0.0001599201,0.0006674238,0.0005438359,0.0002570955],"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":[0.00004309212,0.00001551714,0.0002145678,0.0002809568,0.00001718835,0.00001121597,0.000009405817,0.0001870121,0.00006594286,0.0002638217,0.9979996,0.0008916211],"study_design_scores_gemma":[0.0003361553,0.0000344654,0.002382651,0.0003115627,0.0000329011,0.0000596091,0.00007920764,0.0008384965,0.000429145,0.001352536,0.9941046,0.00003872972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008002308,0.00005119163,0.00003777212,0.00004329596,0.00003292602,0.000005738384,0.9984113,0.0005620888,0.0007756973],"genre_scores_gemma":[0.0001981871,0.00002828332,0.00009809739,0.00003063135,0.000006526028,0.00001932721,0.9991531,0.0000707845,0.0003950274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8991084,"threshold_uncertainty_score":0.3375161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}