{"id":"W4398351448","doi":"10.7910/dvn/nfpjaq/csyecb","title":"hierarchy.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hierarchy; Computer science; Mathematics; Geography; Political 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":[0.0031461,0.003338892,0.002525895,0.003490742,0.001102511,0.004331245,0.003468687,0.001307673,0.1897935],"category_scores_gemma":[0.01454651,0.001378888,0.001888216,0.003446194,0.0009552358,0.002250106,0.002496098,0.003600006,0.2197902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462067,"about_ca_system_score_gemma":0.003234924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009663214,"about_ca_topic_score_gemma":0.01509515,"domain_scores_codex":[0.9982613,0.0003367306,0.0001953289,0.0007295596,0.0002924264,0.0001847377],"domain_scores_gemma":[0.9947212,0.002648748,0.0003658601,0.001254683,0.0007455645,0.0002641049],"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":[0.00009239211,0.00002003495,0.0006394315,0.001109954,0.0001068982,0.00002349462,0.00003159762,0.0004407949,0.0003082861,0.001077475,0.992375,0.003774616],"study_design_scores_gemma":[0.0004717348,0.00004003578,0.00246578,0.0004711202,0.0001607205,0.0001023542,0.00005834351,0.00150145,0.001735957,0.01340402,0.9794958,0.00009266871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001659642,0.00009411288,0.001679518,0.00009924482,0.0000437714,0.00005644864,0.9856158,0.01112155,0.001123575],"genre_scores_gemma":[0.002128689,0.0002051147,0.01087765,0.0003822776,0.00003863744,0.001126984,0.9717715,0.0103811,0.003087912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8102065,"threshold_uncertainty_score":0.6349226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103613619420498,"score_gpt":0.2478492890036034,"score_spread":0.2268131528093985,"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."}}