{"id":"W6989765923","doi":"","title":"California Manufacturing Sector Bucks National Trend","year":2019,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Purchasing; Manufacturing sector; Quarter (Canadian coin); Manufacturing; National economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.0006847621,0.000366174,0.000476487,0.002443033,0.0008644874,0.0005743605,0.003393565,0.0002185358,0.001316833],"category_scores_gemma":[0.0002240412,0.000370295,0.0003940864,0.002222886,0.0006428914,0.003178431,0.00138324,0.0006828957,0.003557085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006592119,"about_ca_system_score_gemma":0.0002781959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008639897,"about_ca_topic_score_gemma":0.0003047852,"domain_scores_codex":[0.995116,0.0001865715,0.0003392594,0.001131548,0.002409543,0.0008170778],"domain_scores_gemma":[0.9970971,0.0008558349,0.0002774585,0.0007862014,0.0003411716,0.0006421836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002592663,0.001819535,0.3503157,0.0001680736,0.0008015565,0.003483624,0.006601482,0.005922363,0.003624542,0.4317596,0.1395082,0.05340268],"study_design_scores_gemma":[0.001609083,0.0001558748,0.01589708,0.00003747746,0.000018988,0.00002871346,0.008773204,0.001341276,0.0004941181,0.0048178,0.9661152,0.0007111612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6344361,0.00001039435,0.0003068953,0.000461403,0.0001807778,0.0002214125,0.0005756682,0.0001282977,0.3636791],"genre_scores_gemma":[0.8680778,0.00001278492,0.0000493101,0.00007739274,0.0000785753,3.29034e-8,0.00005494941,0.00001692689,0.1316323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.826607,"threshold_uncertainty_score":0.9998749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07397013788062776,"score_gpt":0.2843758359617549,"score_spread":0.2104056980811271,"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."}}