{"id":"W4398923714","doi":"10.7910/dvn/v1rjpf/tmfyrv","title":"cbb20171018_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":[0.001676659,0.003778361,0.002765385,0.006414926,0.001641084,0.006253535,0.005666938,0.004265414,0.3479053],"category_scores_gemma":[0.01173979,0.001386152,0.001955902,0.01182229,0.0009655834,0.003458308,0.004501932,0.002776289,0.392604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273642,"about_ca_system_score_gemma":0.00339486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04580445,"about_ca_topic_score_gemma":0.06291868,"domain_scores_codex":[0.9985731,0.0002827414,0.0001338904,0.0004443932,0.0002697402,0.0002960855],"domain_scores_gemma":[0.9958474,0.001278707,0.0003333382,0.0009881526,0.001030638,0.0005217826],"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":[0.00003365895,0.000006765553,0.0001446466,0.0005009256,0.00001740554,0.000006254882,0.00001356707,0.00009003504,0.00003674512,0.0003602182,0.9982249,0.0005647709],"study_design_scores_gemma":[0.0002995808,0.00001478974,0.00112225,0.0004519673,0.00002878328,0.00002356967,0.00007067305,0.0002192081,0.0001891027,0.001773186,0.9957721,0.00003486978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002139985,0.00004847341,0.00002396107,0.00007343465,0.00002577189,0.000004315702,0.9988428,0.0003629892,0.0005967187],"genre_scores_gemma":[0.0001834143,0.00006252724,0.0001198147,0.00009191706,0.0000128307,0.00004794701,0.9984453,0.0002393805,0.0007967571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6520947,"threshold_uncertainty_score":0.9301339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654394956746246,"score_gpt":0.2582996293820563,"score_spread":0.2317556798145938,"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."}}