{"id":"W4398856200","doi":"10.7910/dvn/v1rjpf/svtkad","title":"iqa20161103_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":"Physics","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":["insufficient_payload"],"category_scores_codex":[0.001665617,0.003524916,0.002519038,0.005525579,0.001476454,0.005853984,0.005102316,0.00411702,0.3265018],"category_scores_gemma":[0.01165488,0.001253942,0.002105208,0.01006372,0.0009025086,0.003484222,0.004330632,0.002657052,0.3697453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467384,"about_ca_system_score_gemma":0.002935616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251887,"about_ca_topic_score_gemma":0.04708943,"domain_scores_codex":[0.9985657,0.0002965494,0.0001444802,0.0004408153,0.0002589235,0.000293518],"domain_scores_gemma":[0.9960728,0.001225934,0.0003248102,0.0009516736,0.0009662607,0.0004585177],"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":[0.00003253566,0.000007849684,0.000167592,0.0005175414,0.0000196217,0.000006891621,0.00001467667,0.0001106932,0.00003637701,0.0003718187,0.9980614,0.0006530344],"study_design_scores_gemma":[0.0003209525,0.00001917988,0.001274706,0.00044148,0.00003275561,0.00002757115,0.0000787992,0.0002881926,0.0002108327,0.002284515,0.9949837,0.000037318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002498141,0.00004811102,0.00002909708,0.00008258758,0.00002881472,0.00000533903,0.9987231,0.0004071208,0.0006508759],"genre_scores_gemma":[0.0002201962,0.000064108,0.0001420998,0.0001047313,0.00001539991,0.00005432118,0.9983975,0.0002203937,0.0007811686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6734982,"threshold_uncertainty_score":0.9606634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438356678235003,"score_gpt":0.2542268928655856,"score_spread":0.2298433260832355,"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."}}