{"id":"W2790302019","doi":"10.5539/emr.v7n1p46","title":"Efficiency of Authored Mixed Prediction Model with Application to the Labor Market","year":2018,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Exponential function; Series (stratigraphy); Mathematics; Econometrics; Computer science; Applied mathematics; Algorithm; Artificial intelligence; Mathematical analysis; Geology","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":[0.0008642884,0.00009165377,0.00008884514,0.0002761225,0.00008042382,0.00003385584,0.0002467303,0.00003306168,0.0000127177],"category_scores_gemma":[0.00001910987,0.00006822597,0.00001919635,0.0008893225,0.00002720558,0.00004767407,0.00004826897,0.0001373159,0.00004379048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007510837,"about_ca_system_score_gemma":0.000005731937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379592,"about_ca_topic_score_gemma":0.00001537006,"domain_scores_codex":[0.998918,0.00002670388,0.0001595454,0.0001637697,0.0004576881,0.0002743175],"domain_scores_gemma":[0.9994161,0.00003040705,0.00001104908,0.0003755613,0.0001076228,0.00005924342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000380857,0.00001643892,0.00003156031,0.0001715228,0.00006094104,6.782927e-7,0.000243461,0.9751462,0.008022118,0.001928673,0.007692304,0.006648046],"study_design_scores_gemma":[0.0001867023,0.00008184398,0.001591304,0.00003666082,0.000006410323,7.115369e-7,0.0001166456,0.9706246,0.002098921,0.00001067958,0.02517914,0.00006635502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07536226,0.0000574281,0.9051253,0.0002471699,0.0002498249,0.00119289,0.00001119345,0.0004033258,0.01735062],"genre_scores_gemma":[0.9966358,0.000009758113,0.00108745,0.00000502452,0.0001122478,0.0003912173,0.000002029074,0.00002624425,0.001730243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9212735,"threshold_uncertainty_score":0.2782174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009880368605059356,"score_gpt":0.2522889414130093,"score_spread":0.24240857280795,"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."}}