{"id":"W4398928020","doi":"10.7910/dvn/v1rjpf/dqgnie","title":"cbb20170904_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":[0.001628895,0.003894292,0.002693658,0.006142408,0.001677592,0.005979726,0.005876462,0.004379138,0.3206714],"category_scores_gemma":[0.01122631,0.00138077,0.002015122,0.01118091,0.001007759,0.003293793,0.004438721,0.002824674,0.3899054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734054,"about_ca_system_score_gemma":0.00339737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04527596,"about_ca_topic_score_gemma":0.06369495,"domain_scores_codex":[0.9985598,0.0002748021,0.0001322521,0.0004608767,0.0002679307,0.0003043343],"domain_scores_gemma":[0.9960227,0.001166631,0.0003115007,0.0009959067,0.000997938,0.0005052897],"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":[0.00003268373,0.000007355098,0.0001375337,0.0004623708,0.00001730963,0.000006173558,0.00001300961,0.00008970904,0.00004179304,0.0003173768,0.9983175,0.0005572262],"study_design_scores_gemma":[0.0003260772,0.00001682647,0.001161763,0.0004131786,0.00003040051,0.00002587183,0.00007192866,0.0002489357,0.0002260453,0.001761423,0.9956809,0.00003649595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002582889,0.0000519416,0.00002650962,0.00007701292,0.00002819014,0.000004773068,0.9987889,0.0004141147,0.0005827436],"genre_scores_gemma":[0.0001888989,0.00005970499,0.0001251846,0.00009140853,0.00001260383,0.00004771445,0.9984651,0.0002315616,0.0007778726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6793286,"threshold_uncertainty_score":0.9689797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623050817960142,"score_gpt":0.2581867601465389,"score_spread":0.2319562519669375,"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."}}