{"id":"W4398842439","doi":"10.7910/dvn/v1rjpf/drivw9","title":"cbb20150612_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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004918773,0.001051737,0.001070914,0.0004612206,0.0002064507,0.0003262306,0.00263141,0.0007419909,0.6917161],"category_scores_gemma":[0.001150999,0.001116476,0.0003576798,0.0006908235,0.0003016396,0.0006884407,0.002053163,0.00153006,0.9997208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003692867,"about_ca_system_score_gemma":0.0005479759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007108296,"about_ca_topic_score_gemma":0.0003472388,"domain_scores_codex":[0.9950091,0.0003159823,0.0008013329,0.00156679,0.001304095,0.00100274],"domain_scores_gemma":[0.9944682,0.0001393229,0.0006424073,0.003769286,0.000163243,0.0008175633],"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":[0.0001874882,0.0001625882,0.000002243162,0.0002695918,0.0003007156,0.00126343,0.00002194018,0.00000372287,0.00009772933,0.00003382205,0.9975755,0.00008127165],"study_design_scores_gemma":[0.001052055,0.00009586488,0.00001146387,0.0001410042,0.0006499344,0.00007364927,0.00005428339,0.00002019274,0.00003912204,0.00002190597,0.9966679,0.00117269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001416408,1.081662e-7,0.00001123492,0.000002487346,0.001444673,0.0007019286,0.9964735,0.0005257092,0.0008389339],"genre_scores_gemma":[0.000001165518,0.0002300971,0.0004621294,0.001379468,0.001369166,0.00007987437,0.9956459,0.0002698031,0.0005624361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3080046,"threshold_uncertainty_score":0.9991285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}