{"id":"W4213039273","doi":"10.5539/ijsp.v11n2p1","title":"Rand R Wilcox","year":2022,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Point (geometry); Order (exchange); Probability distribution; Probability theory; Probability and statistics; Applied probability; Mathematical economics; Artificial intelligence; Mathematics; Statistics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595685,0.00006600366,0.0001573513,0.00007877775,0.00008767488,0.00003662059,0.0002143917,0.00001431765,0.0007044455],"category_scores_gemma":[0.003388214,0.0000577199,0.00003437416,0.00004353282,0.00008802267,0.0000428802,0.0001029669,0.0001926766,7.464135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000841705,"about_ca_system_score_gemma":0.0001288451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007049974,"about_ca_topic_score_gemma":0.00000307374,"domain_scores_codex":[0.9987696,0.0002188885,0.0004170749,0.00008727124,0.0004300931,0.00007709369],"domain_scores_gemma":[0.9972112,0.001813558,0.000351457,0.00007777267,0.0004903225,0.00005564295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000355893,0.0003432489,0.005550852,0.00004556121,0.0001630917,0.00004947452,0.001414642,0.0000494295,0.0000997065,0.8876862,0.0602867,0.04395521],"study_design_scores_gemma":[0.0005243935,0.0001229382,0.004432748,0.000005636845,0.00002478683,0.0002046439,0.0002758606,0.000110474,0.00003400028,0.9639374,0.03026384,0.00006325166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2397463,0.0003679194,0.7429729,0.003961761,0.00830172,0.0003171994,0.002380571,0.00002713688,0.001924543],"genre_scores_gemma":[0.3253176,0.00008995669,0.6737834,0.0002171588,0.0001666302,0.000009422788,0.00001290784,0.000009695017,0.0003932204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08557136,"threshold_uncertainty_score":0.7713184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1377620801264097,"score_gpt":0.4194562219639493,"score_spread":0.2816941418375397,"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."}}