{"id":"W4398888434","doi":"10.7910/dvn/v1rjpf/nlderg","title":"cbb20150607_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":[0.001600915,0.003840728,0.002738622,0.006194798,0.001682665,0.006287718,0.005567387,0.004311729,0.3512453],"category_scores_gemma":[0.01102633,0.001382681,0.001898789,0.011549,0.0009656952,0.003521032,0.004485043,0.002780064,0.4231368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695949,"about_ca_system_score_gemma":0.003329198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04350146,"about_ca_topic_score_gemma":0.05936462,"domain_scores_codex":[0.9986083,0.00026459,0.0001271314,0.000436614,0.0002654787,0.0002979051],"domain_scores_gemma":[0.9959708,0.001179296,0.0003100196,0.001002114,0.00101732,0.0005204524],"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":[0.00003172962,0.000006843276,0.0001363029,0.0004223562,0.00001543546,0.000005999577,0.00001251424,0.00008265465,0.0000375495,0.0003259821,0.9983919,0.0005306508],"study_design_scores_gemma":[0.0002955279,0.00001549964,0.001141692,0.0003925881,0.0000261581,0.00002344194,0.0000694979,0.0002310983,0.000209438,0.001745864,0.9958146,0.0000346526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002338697,0.00004591286,0.00002524886,0.00007479863,0.00002673462,0.000004495093,0.9987615,0.0004121177,0.0006257812],"genre_scores_gemma":[0.0001860398,0.00005676972,0.0001143781,0.00008991517,0.0000127109,0.00004527199,0.9984267,0.0002494085,0.0008189428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6487547,"threshold_uncertainty_score":0.9253699,"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."}}