{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001004361,0.0006308408,0.000662261,0.00004376189,0.0001445129,0.0001074188,0.001242775,0.0006595036,0.1818448],"category_scores_gemma":[0.0002573981,0.0006434268,0.0002655804,0.00009154928,0.0001699842,0.000129956,0.001018738,0.0009568571,0.1585805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425103,"about_ca_system_score_gemma":0.0001466846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000614694,"about_ca_topic_score_gemma":0.000008831169,"domain_scores_codex":[0.99761,0.00001263384,0.000446976,0.0008932675,0.000483541,0.000553602],"domain_scores_gemma":[0.9964966,0.0001380235,0.0002797603,0.00282728,0.00007719445,0.0001811634],"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":[0.00006359717,0.00009645703,0.00001088539,0.002179825,0.0002514379,0.0001744011,0.00001118325,0.000001041588,0.003513924,0.000001129381,0.9935907,0.00010549],"study_design_scores_gemma":[0.0005521902,0.000007503357,9.433011e-7,0.0002502973,0.0002035635,0.00005053629,0.00007880277,0.000003405537,0.009344152,0.000009699513,0.9888068,0.000692129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001004895,0.000006792345,7.814371e-7,0.00000558134,0.000360619,0.0000659086,0.9788852,0.0000793662,0.0204952],"genre_scores_gemma":[0.00002961418,0.0005337881,0.0000334121,0.0001386426,0.0008590918,0.0000320778,0.9720241,0.00003457096,0.02631463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0232643,"threshold_uncertainty_score":0.9996017,"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."}}