{"id":"W4398965721","doi":"10.7910/dvn/v1rjpf/uwtjox","title":"cbb20150127_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":[0.001617384,0.003829203,0.002657172,0.006038892,0.001622468,0.005947327,0.005541328,0.00426126,0.3298981],"category_scores_gemma":[0.01083713,0.001326304,0.001896426,0.01076526,0.0009748827,0.003366905,0.004374045,0.002715603,0.4001577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269679,"about_ca_system_score_gemma":0.00318327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04068779,"about_ca_topic_score_gemma":0.05771746,"domain_scores_codex":[0.9986098,0.0002756277,0.0001253336,0.0004339376,0.0002633569,0.0002920064],"domain_scores_gemma":[0.9962066,0.001119645,0.0002956167,0.0009465427,0.0009353675,0.0004962446],"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":[0.00003301442,0.00000748713,0.0001386978,0.0004392163,0.00001605004,0.000006184779,0.00001249087,0.00009149637,0.00003920492,0.0003213542,0.9983128,0.0005820247],"study_design_scores_gemma":[0.0003183283,0.00001745839,0.001169476,0.0004086278,0.00002791764,0.00002649362,0.00007176565,0.0002619064,0.000222827,0.001812914,0.9956267,0.0000355387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002719404,0.00005289342,0.00002729943,0.00007952543,0.00002835364,0.000005039466,0.9986899,0.000435203,0.0006546083],"genre_scores_gemma":[0.0001997801,0.00005950586,0.0001227756,0.0000904663,0.00001315916,0.00004785454,0.9984061,0.0002361126,0.0008241889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6701019,"threshold_uncertainty_score":0.955819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652837526140838,"score_gpt":0.2579285814840617,"score_spread":0.2314002062226533,"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."}}