{"id":"W4398962223","doi":"10.7910/dvn/v1rjpf/wgewvi","title":"cbb20150614_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":"Mathematics","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":[0.001621419,0.003874243,0.002747989,0.006098805,0.00169249,0.006210523,0.005697895,0.004407618,0.3498401],"category_scores_gemma":[0.01102461,0.001388679,0.001909506,0.01121661,0.0009797468,0.003513086,0.004533721,0.002778704,0.4224773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697315,"about_ca_system_score_gemma":0.003287228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04197855,"about_ca_topic_score_gemma":0.05791972,"domain_scores_codex":[0.998597,0.0002685533,0.0001267725,0.0004447328,0.0002663432,0.0002966469],"domain_scores_gemma":[0.9960186,0.001167777,0.0003037944,0.000995621,0.0009975742,0.000516571],"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":[0.00003285279,0.000007240811,0.0001339831,0.0004305476,0.00001555161,0.000006083295,0.0000128318,0.00008509013,0.00003901685,0.000330206,0.9983572,0.0005492917],"study_design_scores_gemma":[0.0003089791,0.00001642977,0.001114871,0.0003922446,0.00002658933,0.00002404516,0.00006927783,0.0002420708,0.0002177558,0.001806907,0.9957455,0.00003536769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000245288,0.00004686462,0.00002688777,0.00007714616,0.00002749968,0.000004851223,0.9987162,0.0004345361,0.0006414618],"genre_scores_gemma":[0.0001886532,0.00005632474,0.0001201439,0.00009183672,0.00001281625,0.00004812136,0.9984016,0.0002520785,0.000828473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.65016,"threshold_uncertainty_score":0.9273742,"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."}}