{"id":"W4398714422","doi":"10.7910/dvn/hbikkv/ba9fba","title":"RunA.nc","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[],"category_scores_codex":[0.001735196,0.00446999,0.002570317,0.0036985,0.001330781,0.005119699,0.004777931,0.001775878,0.3233512],"category_scores_gemma":[0.008073268,0.001785576,0.002315467,0.005778216,0.0007434042,0.002787788,0.002980722,0.002440629,0.5399203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222756,"about_ca_system_score_gemma":0.002732645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249176,"about_ca_topic_score_gemma":0.01547061,"domain_scores_codex":[0.9985135,0.0001770787,0.0001233581,0.0006348259,0.0003209395,0.0002303379],"domain_scores_gemma":[0.9971194,0.0005961302,0.0001466915,0.001258846,0.0006033866,0.0002755851],"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":[0.00007155417,0.00001955598,0.0002170182,0.0002605404,0.0000349535,0.000005086767,0.00001598547,0.0001452037,0.0001492506,0.0004473628,0.9937735,0.004859932],"study_design_scores_gemma":[0.0003289606,0.00002827922,0.001063891,0.0001033703,0.0000370586,0.00002672356,0.00002764848,0.001209654,0.001284262,0.00285657,0.9929938,0.00003974431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002782926,0.0001811468,0.001298407,0.0002049552,0.0001994022,0.00006459044,0.934222,0.05668789,0.006863356],"genre_scores_gemma":[0.001262305,0.0001881642,0.003540867,0.0001795218,0.0000648714,0.0003057193,0.9803683,0.009644472,0.004445692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6766489,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680294831912975,"score_gpt":0.2352101464485778,"score_spread":0.218407198129448,"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."}}