{"id":"W4398950713","doi":"10.7910/dvn/v1rjpf/opcxpz","title":"blc20150814_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":[0.001768557,0.003762247,0.002609563,0.005689931,0.001538932,0.00572948,0.005289461,0.004328283,0.3150888],"category_scores_gemma":[0.0113281,0.001341865,0.001979729,0.01014371,0.0009576429,0.003410417,0.004214121,0.002694856,0.3902813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657607,"about_ca_system_score_gemma":0.00311999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03634757,"about_ca_topic_score_gemma":0.05292333,"domain_scores_codex":[0.9984824,0.0003156356,0.000136404,0.0004659962,0.0002863895,0.0003131661],"domain_scores_gemma":[0.9960223,0.001176148,0.0003187228,0.001015791,0.0009857827,0.0004813691],"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":[0.0000316803,0.000007001683,0.0001411174,0.0004164221,0.0000168261,0.000005761751,0.00001211325,0.00009939216,0.00003648481,0.0003167415,0.9983411,0.0005753787],"study_design_scores_gemma":[0.0003121569,0.00001788252,0.001120212,0.0003764928,0.0000285499,0.00002561866,0.0000670141,0.0002710706,0.000219346,0.001899714,0.9956262,0.00003567193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002440123,0.00004777843,0.00002821058,0.00008343886,0.00002906646,0.000004642618,0.9987565,0.0004274845,0.000598382],"genre_scores_gemma":[0.0001836026,0.000055038,0.0001180574,0.00009233266,0.00001360739,0.00004495143,0.9985085,0.0002191568,0.0007647306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6849112,"threshold_uncertainty_score":0.9769427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601039444890286,"score_gpt":0.256910890030131,"score_spread":0.2309004955812281,"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."}}