{"id":"W4398739148","doi":"10.7910/dvn/pkjufn/edtapz","title":"FCC2003.163.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; Computer science; Geography; Geology; Computer network","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":[0.001415741,0.003200808,0.001820705,0.004859142,0.001175452,0.003895542,0.004185224,0.003096937,0.1715076],"category_scores_gemma":[0.008422084,0.0009699954,0.001563722,0.008217443,0.0007197628,0.002318528,0.002531055,0.002057425,0.245117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143408,"about_ca_system_score_gemma":0.002647578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04292187,"about_ca_topic_score_gemma":0.06411852,"domain_scores_codex":[0.9987184,0.0002646921,0.0001187553,0.0003907523,0.000251947,0.0002555388],"domain_scores_gemma":[0.9969205,0.0006978437,0.000236754,0.0009470394,0.0008185803,0.0003793944],"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":[0.00002891168,0.000007579117,0.000138122,0.0002267747,0.0000125006,0.000005690502,0.000007898928,0.000113532,0.00003238199,0.0002481749,0.9985169,0.0006616622],"study_design_scores_gemma":[0.000272346,0.00002102257,0.00153899,0.0002763382,0.00002649963,0.00003357556,0.00006521168,0.0005268439,0.0002844583,0.001510992,0.9954118,0.00003183843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000515169,0.00004914311,0.00003340076,0.00007072194,0.00003010086,0.000005092285,0.9985177,0.0004990909,0.0007432094],"genre_scores_gemma":[0.0002451662,0.00003809645,0.0001154128,0.00005707159,0.00001048255,0.00002898065,0.9987086,0.0001426461,0.0006535879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284924,"threshold_uncertainty_score":0.5737501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247673236901295,"score_gpt":0.2551844532484137,"score_spread":0.2304171295582842,"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."}}