{"id":"W4398607261","doi":"10.7910/dvn/gl5ccd/btsfkn","title":"mindist_exec","year":2018,"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":"Statistics Canada; Université du Québec à Montréal","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":[0.0001072844,0.0006458765,0.0005901012,0.00003858582,0.0002437023,0.0001165953,0.001242686,0.0006826906,0.2280339],"category_scores_gemma":[0.0003329598,0.0006583265,0.0002453542,0.00009487589,0.0003819801,0.0001095251,0.0009373355,0.0006242045,0.08498737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397404,"about_ca_system_score_gemma":0.0001265081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020075,"about_ca_topic_score_gemma":0.00003893262,"domain_scores_codex":[0.9976024,0.00001125027,0.000466174,0.0009073244,0.0004535989,0.0005592348],"domain_scores_gemma":[0.9967377,0.00008994792,0.0003147543,0.002531356,0.0001060181,0.0002202759],"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":[0.00006339981,0.0001149054,0.000006090975,0.001234673,0.0002419134,0.000212004,0.00001458793,4.833931e-8,0.002164486,5.730244e-7,0.9958878,0.00005955354],"study_design_scores_gemma":[0.0004365728,0.000009756212,7.95464e-7,0.0002359572,0.0002560733,0.00006853294,0.00007062308,0.000001183861,0.02017352,0.00001311001,0.9780439,0.0006899785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001543635,0.000004299225,6.00198e-7,0.00000356166,0.0003412656,0.00004615642,0.9836856,0.00009737572,0.01566685],"genre_scores_gemma":[0.00002098942,0.0002543262,0.00005764758,0.00009995513,0.00197485,0.0000378077,0.9858072,0.00003254962,0.01171471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1430465,"threshold_uncertainty_score":0.9995868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427054304090218,"score_gpt":0.2392257808501685,"score_spread":0.2249552378092663,"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."}}