{"id":"W4398437827","doi":"10.7910/dvn/8qpl75/umusyn","title":"brd20110926_03.txt.gz","year":2021,"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":[0.001677729,0.003663661,0.002624211,0.005566545,0.001598218,0.005776307,0.005299843,0.004218868,0.3258585],"category_scores_gemma":[0.01168599,0.001321636,0.001946413,0.009658757,0.0009205526,0.003107147,0.004123637,0.002708874,0.3862131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00246792,"about_ca_system_score_gemma":0.003001367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03068474,"about_ca_topic_score_gemma":0.04745868,"domain_scores_codex":[0.9985215,0.0003130097,0.0001489141,0.0004488654,0.0002750936,0.0002926372],"domain_scores_gemma":[0.9962196,0.001286704,0.0003113404,0.0009148347,0.0008229594,0.0004445365],"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":[0.00003344209,0.000008649838,0.0001691508,0.0005340027,0.00001842763,0.00000773497,0.00001472865,0.0001029566,0.00003916315,0.0003412172,0.9981206,0.0006097819],"study_design_scores_gemma":[0.0003327586,0.00001798313,0.001143834,0.0004128048,0.00002992903,0.00002911014,0.00007102591,0.0002405004,0.0002090608,0.001802665,0.9956775,0.00003284664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000266172,0.00005185724,0.00002971616,0.00008013382,0.00002749658,0.000005406148,0.9987514,0.0003890907,0.0006382663],"genre_scores_gemma":[0.0002062174,0.00006586743,0.0001351757,0.00009124316,0.00001335252,0.00005724795,0.9983909,0.0002219543,0.0008180384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6741415,"threshold_uncertainty_score":0.961581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220867339277274,"score_gpt":0.2576264826926292,"score_spread":0.2354178092998565,"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."}}