{"id":"W4244836771","doi":"10.1179/1743275812y.0000000015","title":"Abstracts","year":2011,"lang":"en","type":"article","venue":"Applied Earth Science Transactions of the Institutions of Mining and Metallurgy Section B","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005798897,0.00006964859,0.000169086,0.0002476037,0.0004675645,0.00001457862,0.0002195284,0.00003216289,0.0007138046],"category_scores_gemma":[0.00002778566,0.00006235699,0.00007339384,0.0004836651,0.001429585,0.0002562147,0.00002096372,0.00005759535,0.00006679565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000135292,"about_ca_system_score_gemma":0.00006655689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003501967,"about_ca_topic_score_gemma":0.00006623767,"domain_scores_codex":[0.9992174,0.00000267044,0.0003660884,0.0002292822,0.00004741117,0.0001371506],"domain_scores_gemma":[0.99943,0.00001471274,0.0002393423,0.0002340768,0.00003729159,0.00004459179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006412827,0.0005615609,0.002589223,0.00007700673,0.0003092618,4.307295e-7,0.0179571,0.01481131,0.01052203,0.9454347,0.0004082828,0.007264929],"study_design_scores_gemma":[0.0049133,0.0005683813,0.4242325,0.0002454593,0.0004778906,0.000106066,0.04233697,0.004422428,0.2672156,0.01861947,0.2347103,0.002151627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392827,0.00007757344,0.01039047,0.00002548726,0.001738416,0.0001066503,0.00004188135,0.00001505173,0.4483217],"genre_scores_gemma":[0.9915134,0.00004259983,0.00392741,0.00001348904,0.00001028042,0.000007071375,2.126671e-7,0.000002519942,0.004483019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9268153,"threshold_uncertainty_score":0.781566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07636985010589258,"score_gpt":0.2128645112758851,"score_spread":0.1364946611699925,"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."}}