{"id":"W4398907692","doi":"10.7910/dvn/v1rjpf/te8jrs","title":"blc20170223_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":[0.001673946,0.003820306,0.002706762,0.005656759,0.001536908,0.00565836,0.005365609,0.004285182,0.3262249],"category_scores_gemma":[0.0107513,0.001372411,0.001942964,0.01038049,0.0009398101,0.003383428,0.004065813,0.002704756,0.4020283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618219,"about_ca_system_score_gemma":0.003113416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03657344,"about_ca_topic_score_gemma":0.05135146,"domain_scores_codex":[0.9985519,0.0002900216,0.000128757,0.000452248,0.0002682978,0.0003087302],"domain_scores_gemma":[0.9962089,0.001130604,0.0003084844,0.0009487573,0.0009318505,0.000471277],"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":[0.00003258674,0.000007123557,0.0001428134,0.0004241148,0.00001712366,0.000005884093,0.00001207294,0.00009953159,0.00003766199,0.0003062124,0.9983524,0.0005626027],"study_design_scores_gemma":[0.0003213125,0.00001744448,0.001165639,0.0003722594,0.00002969155,0.00002497658,0.00006468615,0.00026457,0.0002259358,0.001846493,0.9956306,0.00003641321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000229627,0.00004555138,0.00002607357,0.00007402735,0.00002625087,0.000004287581,0.9988231,0.0004097336,0.0005680624],"genre_scores_gemma":[0.0001757885,0.00005400736,0.0001101703,0.00008624576,0.00001279244,0.00004302403,0.9985697,0.0002189746,0.0007292726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6737751,"threshold_uncertainty_score":0.9610584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581421697522007,"score_gpt":0.2573946250623096,"score_spread":0.2315804080870895,"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."}}