{"id":"W4398277149","doi":"10.7910/dvn/pkjufn/jmmhtn","title":"FCC2001.160.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":[0.001138233,0.003677469,0.001799649,0.004294125,0.001176775,0.003396109,0.003837748,0.003111529,0.09534276],"category_scores_gemma":[0.005393771,0.0008909696,0.00164286,0.006724674,0.0006358075,0.001944577,0.00228758,0.002067302,0.1914619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719962,"about_ca_system_score_gemma":0.002260911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03362403,"about_ca_topic_score_gemma":0.05142568,"domain_scores_codex":[0.9987948,0.0002078356,0.000112458,0.0003844509,0.0002488492,0.0002514782],"domain_scores_gemma":[0.9978963,0.0003988443,0.0001640803,0.0007213915,0.0005432061,0.0002762046],"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":[0.000039449,0.00001436944,0.0002123084,0.0002358855,0.0000158402,0.000009280238,0.000008347009,0.000192994,0.00005675528,0.0002454878,0.9981347,0.0008344965],"study_design_scores_gemma":[0.0003512301,0.00003492827,0.002657265,0.0002968884,0.00003407371,0.00006035146,0.00008644484,0.001029337,0.0004403105,0.001540148,0.9934279,0.00004103881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008525635,0.00004828662,0.00003955445,0.00004866232,0.0000348051,0.000005585756,0.9984909,0.000555601,0.0006914005],"genre_scores_gemma":[0.0002356022,0.00002964984,0.0001064928,0.00003281002,0.000007728369,0.00002058537,0.9990755,0.000074283,0.0004172814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9046572,"threshold_uncertainty_score":0.3189533,"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."}}