{"id":"W4398901947","doi":"10.7910/dvn/v1rjpf/9ig45d","title":"cbb20160412_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; Mathematics","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":[0.001621648,0.003824577,0.002651608,0.006093581,0.001664583,0.006089049,0.005711824,0.004293201,0.3277851],"category_scores_gemma":[0.0112948,0.00135299,0.001969389,0.01126259,0.0009783589,0.003339343,0.004512223,0.002825707,0.3925961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002715689,"about_ca_system_score_gemma":0.003335299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04493008,"about_ca_topic_score_gemma":0.06316356,"domain_scores_codex":[0.9985654,0.0002751228,0.0001330239,0.000453742,0.0002695285,0.0003033681],"domain_scores_gemma":[0.9959742,0.001190339,0.0003153978,0.001001341,0.001004272,0.0005145048],"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":[0.00003161343,0.000007131977,0.0001370394,0.0004485535,0.00001669704,0.000006159541,0.00001335387,0.00008765479,0.00004005497,0.0003296267,0.9983274,0.0005546606],"study_design_scores_gemma":[0.0002971771,0.00001587387,0.001148417,0.0004131756,0.00002841221,0.00002519858,0.00007381946,0.0002341517,0.0002143465,0.001776095,0.995738,0.00003525757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002499019,0.0000491961,0.00002575196,0.00007677212,0.00002773055,0.000004550634,0.9987949,0.000396724,0.0005994008],"genre_scores_gemma":[0.0001862249,0.0000584014,0.000122244,0.00009152211,0.0000124606,0.00004609536,0.9984632,0.0002300185,0.0007899742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6722149,"threshold_uncertainty_score":0.958833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454532023223658,"score_gpt":0.2544716523423119,"score_spread":0.2299263321100753,"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."}}