{"id":"W7095635458","doi":"","title":"34Copyright © Canadian Academy of Oriental and Occidental Culture 35","year":2011,"lang":"en","type":"article","venue":"","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Militant; State (computer science); League; Salient; Weimar Republic; Table (database); Relevance (law)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001154793,0.0000963029,0.0002017674,0.0001407761,0.00005812927,0.00001591809,0.0001313779,0.0001054491,0.003517033],"category_scores_gemma":[0.000007481545,0.00009119402,0.0000449972,0.00007101052,0.00004682849,0.000143501,0.00004339825,0.00009743142,0.0002608081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008629908,"about_ca_system_score_gemma":0.00001312059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830553,"about_ca_topic_score_gemma":0.005309685,"domain_scores_codex":[0.9992049,0.000001985182,0.0003328976,0.0002252891,0.00001377192,0.0002211386],"domain_scores_gemma":[0.9996276,0.000004109349,0.0001098631,0.00006194563,0.000004069658,0.0001924518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001950465,0.00003349369,0.5524624,0.00001887073,0.00008669445,0.000004118339,0.003702794,2.983217e-7,0.00002212185,0.4254541,0.01631927,0.001876383],"study_design_scores_gemma":[0.0005486319,0.0000508148,0.3495027,0.00001159655,0.000004427346,0.00001973663,0.0005031126,0.0001290482,0.00144115,0.02005984,0.6273664,0.0003626063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7312067,0.001194578,0.000009780676,0.0001768409,0.0001717949,0.00009459292,0.00006370551,0.000009936434,0.2670721],"genre_scores_gemma":[0.9913676,0.00018762,0.0012637,0.000518063,0.00003018285,0.000003234607,0.000005647564,0.000008321043,0.006615671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6110471,"threshold_uncertainty_score":0.9973939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338555097456009,"score_gpt":0.1940955280300436,"score_spread":0.1507099770554835,"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."}}