{"id":"W4398852040","doi":"10.7910/dvn/v1rjpf/6oiclu","title":"blc20160306_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":[0.001718207,0.00387081,0.002635874,0.005572723,0.001546509,0.005626145,0.005280803,0.004241815,0.3092667],"category_scores_gemma":[0.01075954,0.001325243,0.001917436,0.01016803,0.0009391056,0.003417643,0.004091508,0.002713338,0.3999372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655641,"about_ca_system_score_gemma":0.00309435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03680939,"about_ca_topic_score_gemma":0.05354969,"domain_scores_codex":[0.9985061,0.0003016504,0.0001321945,0.0004607326,0.000285317,0.0003138867],"domain_scores_gemma":[0.9962388,0.001066006,0.0003017566,0.0009773998,0.0009372449,0.0004787462],"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":[0.00002915523,0.000006839149,0.0001286657,0.0003605367,0.0000149159,0.000005432568,0.00001069457,0.00009315761,0.00003361355,0.0002802031,0.998498,0.0005387879],"study_design_scores_gemma":[0.0002988928,0.00001769655,0.001139114,0.0003499797,0.00002722456,0.00002573747,0.00006580886,0.0002867202,0.0002262306,0.001844206,0.9956832,0.00003524074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002505439,0.00004808757,0.00002769834,0.00008319491,0.00002904803,0.000004526277,0.9987295,0.000443424,0.0006094281],"genre_scores_gemma":[0.0001759524,0.00005262824,0.0001117113,0.00008572979,0.00001307092,0.00004100513,0.9985573,0.0002075586,0.0007551851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6907333,"threshold_uncertainty_score":0.9852471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470478418612368,"score_gpt":0.2546503335485016,"score_spread":0.229945549362378,"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."}}