{"id":"W4398971373","doi":"10.7910/dvn/v1rjpf/uzgb6h","title":"cbb20160613_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":[0.001633577,0.003789853,0.002695538,0.006051402,0.001648196,0.006162607,0.005762607,0.004319125,0.3286159],"category_scores_gemma":[0.01154407,0.001363366,0.002011797,0.0113628,0.0009809723,0.00334586,0.004541832,0.002833106,0.3951923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697055,"about_ca_system_score_gemma":0.00336812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04430005,"about_ca_topic_score_gemma":0.06268582,"domain_scores_codex":[0.998552,0.0002781243,0.0001367597,0.0004574863,0.0002704379,0.000305075],"domain_scores_gemma":[0.9959226,0.001207381,0.0003236438,0.001008229,0.001018718,0.0005193577],"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":[0.00003211407,0.000007108499,0.0001392152,0.0004775742,0.00001718893,0.000006194097,0.0000132851,0.0000861103,0.00003922843,0.0003306453,0.9982887,0.0005626005],"study_design_scores_gemma":[0.0003081413,0.00001587461,0.001146563,0.0004309387,0.00002968343,0.00002529653,0.00007389906,0.000234253,0.0002135245,0.001818367,0.9956677,0.00003574473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002420252,0.00005080399,0.00002590736,0.00007794637,0.00002791938,0.000004645387,0.9987986,0.0003952007,0.0005946795],"genre_scores_gemma":[0.0001886072,0.00006186477,0.0001268445,0.0000955483,0.00001289264,0.00004872846,0.9984332,0.0002338603,0.0007984524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6713841,"threshold_uncertainty_score":0.9576479,"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."}}