{"id":"W4398870764","doi":"10.7910/dvn/v1rjpf/ty22ny","title":"cbb20150626_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":["insufficient_payload"],"category_scores_codex":[0.001638811,0.003902607,0.002714602,0.006095462,0.001684037,0.006093919,0.005687506,0.0043947,0.346184],"category_scores_gemma":[0.01098728,0.001377256,0.001904032,0.01102635,0.0009855945,0.003499883,0.004492641,0.002790619,0.4201607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701753,"about_ca_system_score_gemma":0.003302513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04267963,"about_ca_topic_score_gemma":0.05853739,"domain_scores_codex":[0.9985965,0.0002701234,0.0001263893,0.0004435679,0.0002658361,0.0002975313],"domain_scores_gemma":[0.9960327,0.001156711,0.0002992502,0.0009979183,0.0009994166,0.0005141246],"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":[0.00003235345,0.000007301946,0.0001322312,0.0004202495,0.00001525751,0.00000611208,0.00001252334,0.00008599616,0.00003906756,0.0003175533,0.9983821,0.000549373],"study_design_scores_gemma":[0.0003082279,0.00001679479,0.001126633,0.0003926956,0.0000263296,0.00002479686,0.00007007933,0.0002488192,0.0002229363,0.001796356,0.9957311,0.00003531437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002506354,0.00004706881,0.00002755021,0.00007733517,0.00002817255,0.000004999931,0.9987028,0.0004470749,0.0006399705],"genre_scores_gemma":[0.0001868673,0.00005476876,0.0001202718,0.00009053252,0.00001269164,0.0000470671,0.9984159,0.0002483077,0.0008234747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.653816,"threshold_uncertainty_score":0.9325892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}