{"id":"W4398889542","doi":"10.7910/dvn/v1rjpf/aindfu","title":"cbb20151124_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":[0.001629196,0.003798594,0.002768898,0.006259883,0.001635231,0.006160899,0.005599969,0.004399803,0.3540055],"category_scores_gemma":[0.01149574,0.001397225,0.001968845,0.01148741,0.0009565431,0.003458753,0.00443555,0.002752044,0.405259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741253,"about_ca_system_score_gemma":0.003312442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04437563,"about_ca_topic_score_gemma":0.05950867,"domain_scores_codex":[0.9986088,0.0002732374,0.0001286504,0.0004375854,0.0002625912,0.0002890964],"domain_scores_gemma":[0.9959605,0.001258931,0.0003192007,0.0009693673,0.0009886282,0.00050326],"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":[0.0000343449,0.000007132616,0.0001444101,0.0004948903,0.00001747072,0.000006558941,0.00001319115,0.00009571425,0.00003813031,0.0003526639,0.9982121,0.0005832686],"study_design_scores_gemma":[0.00031525,0.00001633456,0.001143298,0.0004426936,0.00002945112,0.00002565191,0.00006786324,0.0002409216,0.0002033645,0.001865202,0.9956139,0.00003601805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002197457,0.00004796849,0.00002522378,0.00007416905,0.0000250603,0.000004489098,0.9988194,0.0003778596,0.000603832],"genre_scores_gemma":[0.0001839194,0.00006055354,0.0001185886,0.00009312388,0.00001244712,0.00004721449,0.9984659,0.0002369444,0.0007813859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6459945,"threshold_uncertainty_score":0.9214328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640348113807835,"score_gpt":0.2575563562964882,"score_spread":0.2311528751584098,"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."}}