{"id":"W4398872540","doi":"10.7910/dvn/v1rjpf/7gzmj0","title":"mea20160426_03.txt.gz","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":"Computer science","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":[0.001452614,0.003711411,0.002321078,0.005298692,0.001394622,0.005224411,0.00501535,0.003846295,0.2857822],"category_scores_gemma":[0.01041692,0.00124447,0.001946644,0.009209418,0.0008857158,0.003423661,0.003966852,0.002537309,0.354631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307267,"about_ca_system_score_gemma":0.002709352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03287087,"about_ca_topic_score_gemma":0.0513851,"domain_scores_codex":[0.9987181,0.0002568047,0.0001209205,0.000413709,0.0002389035,0.0002514076],"domain_scores_gemma":[0.9965889,0.001019191,0.0002695536,0.0008939722,0.0008135565,0.0004147589],"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":[0.00003048411,0.000007197658,0.0001594827,0.000411952,0.00001947098,0.000006814235,0.00001350527,0.000113617,0.00003916161,0.0003397024,0.9982127,0.0006459607],"study_design_scores_gemma":[0.0002730337,0.00001579302,0.001193883,0.0003142793,0.00002830405,0.00002607574,0.00006784728,0.0002887721,0.0002319913,0.002009472,0.9955146,0.00003592392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003017996,0.00004534075,0.0000328527,0.00007902259,0.0000286976,0.000004682914,0.9986613,0.0005064227,0.0006114624],"genre_scores_gemma":[0.0002217957,0.00005656598,0.000149433,0.00008537363,0.00001451374,0.00004845917,0.9983857,0.000247928,0.0007902237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7142178,"threshold_uncertainty_score":0.9560366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646045294310331,"score_gpt":0.2547715838494132,"score_spread":0.2283111309063099,"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."}}