{"id":"W4398453200","doi":"10.7910/dvn/metz3u/xuuee5","title":"PEI US 2018 state-level (PEI_US_2018) 14-03-2019.xlsx","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"State (computer science); Computer science; Algorithm","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":[0.000259269,0.0007480888,0.001045531,0.000295203,0.0001388359,0.0001317767,0.0008329597,0.0004216337,0.07214518],"category_scores_gemma":[0.0001310221,0.0006539286,0.0003669973,0.0002035045,0.0001574163,0.0004085992,0.0009977747,0.001119036,0.4759642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384417,"about_ca_system_score_gemma":0.000473825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005366389,"about_ca_topic_score_gemma":0.000416517,"domain_scores_codex":[0.9964749,0.0001017786,0.0006670694,0.0009918945,0.0009550665,0.0008092551],"domain_scores_gemma":[0.9952284,0.0001118363,0.00036149,0.003635307,0.0001489017,0.0005140919],"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":[0.0006309664,0.0003612224,0.00008370568,0.0005407845,0.0003749098,0.001188633,0.00002212725,0.00000253913,0.0000812525,0.000003280896,0.9963899,0.0003206788],"study_design_scores_gemma":[0.002801634,0.000517603,0.0005101779,0.0003713791,0.000902886,0.0003447702,0.00003873534,0.00001337468,0.00005219303,0.000006604569,0.9937266,0.00071407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004087954,0.00002084451,0.00002303339,0.00009596839,0.002848193,0.0009503007,0.9947752,0.00007388216,0.0008037589],"genre_scores_gemma":[0.0000226697,0.001616279,0.0004032422,0.0076941,0.0009789382,0.00003291237,0.9785203,0.00009057089,0.01064099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.403819,"threshold_uncertainty_score":0.9995912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624586822768563,"score_gpt":0.2770499513966738,"score_spread":0.2408040831689881,"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."}}