{"id":"W2909197103","doi":"10.15173/sciential.v1i1.1968","title":"Sciential Issue 1","year":2018,"lang":"en","type":"article","venue":"Sciential - McMaster Undergraduate Science Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002377833,0.001387828,0.001296803,0.006602235,0.002824307,0.01212315,0.002322785,0.003941734,0.6992958],"category_scores_gemma":[0.01191941,0.0007012676,0.00118886,0.003895121,0.001464084,0.003022027,0.003158828,0.003341301,0.610988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593128,"about_ca_system_score_gemma":0.006892591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005484953,"about_ca_topic_score_gemma":0.01138803,"domain_scores_codex":[0.9970674,0.0002160742,0.000117723,0.0003138328,0.001951794,0.0003332625],"domain_scores_gemma":[0.9908966,0.0006626461,0.0004617035,0.001070261,0.004486091,0.002422562],"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":[0.00002196587,0.00002712262,0.00007814754,0.0001307403,0.000004894139,0.00001484807,0.000007182168,0.00001811496,0.0001708598,0.001815211,0.9734862,0.02422471],"study_design_scores_gemma":[0.000008594394,0.00000767617,0.0002946114,0.00007256152,0.00000333599,0.00001623165,0.00001052333,0.00002529668,0.0000915081,0.0008287311,0.9986369,0.000003980912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000545558,0.007584396,0.0008320076,0.02628734,0.1012109,0.0003484436,0.007856159,0.00175236,0.8535829],"genre_scores_gemma":[0.00191679,0.002560001,0.0003222536,0.004963193,0.01378405,0.00006271251,0.003243432,0.0004751249,0.9726723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6992958,"threshold_uncertainty_score":0.4289181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591276814173713,"score_gpt":0.2437387682950363,"score_spread":0.2078260001532992,"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."}}