{"id":"W6950528583","doi":"10.5281/zenodo.546562","title":"BU204 Unit 1 to 7  Assignments","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Unit (ring theory); Table (database); Comparative advantage; Unit of time; Sample (material); Graph; Supply and demand; Download; Unit price","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005518493,0.00008770813,0.0001447075,0.0002018497,0.002294985,0.0009744273,0.001211157,0.00007212887,0.01243268],"category_scores_gemma":[0.0006836815,0.0001051765,0.00003245582,0.0001554049,0.00009629048,0.0003000858,0.0009710008,0.0001536044,0.04269746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019773,"about_ca_system_score_gemma":6.946906e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002525225,"about_ca_topic_score_gemma":2.603117e-7,"domain_scores_codex":[0.9990655,0.00001668929,0.0002822187,0.0003522988,0.0000385525,0.0002447483],"domain_scores_gemma":[0.9989138,0.000005604224,0.0002241643,0.0006564659,0.0001029606,0.00009696461],"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":[0.00001552178,0.00008593808,0.0003434762,0.00001106099,0.00003105634,0.000003791785,0.0002389167,0.00001202032,0.0003509172,0.8839675,0.06222915,0.05271064],"study_design_scores_gemma":[0.0002641918,0.00009880986,0.01104871,0.000007515425,0.000001278852,0.000005583162,0.00006797867,0.0001229445,0.0001906234,0.02098998,0.9670638,0.000138539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2106028,0.00003427718,0.0159847,0.003834336,0.0001966595,0.0003358311,0.0002937638,0.0005170114,0.7682006],"genre_scores_gemma":[0.9960083,0.00001393587,0.0003870713,0.0002528555,0.00007263749,5.850158e-8,0.0001985847,0.0003479844,0.002718531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9048347,"threshold_uncertainty_score":0.9990039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435726709520146,"score_gpt":0.2643472121921707,"score_spread":0.1207745412401561,"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."}}