{"id":"W3048189073","doi":"","title":"Global Product and Technology Intern, ADP- CS 7995","year":2020,"lang":"en","type":"article","venue":"DigitalCommons - Kennesaw State University (Kennesaw State University)","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Business; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.00009707447,0.0005185646,0.0005262728,0.0009704248,0.0005235326,0.00042851,0.0009380546,0.0001289679,0.0001217439],"category_scores_gemma":[0.0001161176,0.0006181266,0.00015958,0.003734734,0.0005407156,0.003860157,0.001375433,0.0003301183,0.0003517163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162377,"about_ca_system_score_gemma":0.00007876792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701931,"about_ca_topic_score_gemma":0.001957043,"domain_scores_codex":[0.9976956,0.00003846929,0.0002830962,0.0009627486,0.0003050737,0.0007149815],"domain_scores_gemma":[0.9985029,0.00004474998,0.0003923584,0.0004349358,0.0004529973,0.0001720682],"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":[0.002181647,0.0008832684,0.3704675,0.0007361053,0.0009056993,0.006035419,0.001740189,0.0005088747,0.0004413046,0.5189888,0.04335125,0.0537599],"study_design_scores_gemma":[0.001820102,0.0000793817,0.004802729,0.00005057429,0.0001212428,0.00001377671,0.005299838,0.0007648926,0.00005066039,0.0008126797,0.9854078,0.0007763704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8061758,0.0001086038,0.001279628,0.007067423,0.0002737813,0.0006159792,0.000383459,0.001285988,0.1828094],"genre_scores_gemma":[0.9945243,0.0001231983,0.0001558369,0.0006005503,0.0001261837,2.815556e-7,0.0001552747,0.00003571856,0.004278657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9420565,"threshold_uncertainty_score":0.999627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207886075230881,"score_gpt":0.1777889635957448,"score_spread":0.165710102843436,"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."}}