{"id":"W1905738047","doi":"10.54782/001c.133103","title":"Consulting Industrial Meteorologiest","year":2012,"lang":"en","type":"article","venue":"The Journal of Weather Modification","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.006789223,0.000072749,0.00012421,0.00009098613,0.0003657798,0.00004087322,0.000398277,0.00007547064,0.00005780092],"category_scores_gemma":[0.0004173899,0.00004839045,0.00007848153,0.0002576263,0.000240386,0.000358801,0.00002347215,0.0002254401,0.00002843204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007704361,"about_ca_system_score_gemma":0.00005427284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003789755,"about_ca_topic_score_gemma":0.00003552892,"domain_scores_codex":[0.9981955,0.0007044416,0.0003430212,0.00005072202,0.0004537144,0.0002526097],"domain_scores_gemma":[0.9987791,0.0002378768,0.0005544938,0.0001818892,0.0001771948,0.00006944135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004492546,0.0008006156,0.5476366,0.00001688984,0.000574191,0.000003193301,0.1336628,0.0006271027,0.005698435,0.1354388,0.01464584,0.1604462],"study_design_scores_gemma":[0.002501869,0.0002292565,0.5747567,0.00008038947,0.0008334551,0.0000257171,0.07113032,0.0001604084,0.001995166,0.009392486,0.3383123,0.0005818555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789991,0.0007180201,0.001493867,0.002698218,0.001044023,0.0002485302,0.000001755668,0.00002586941,0.0147706],"genre_scores_gemma":[0.9979848,0.0003590079,0.0002522293,0.00009949322,0.00108986,0.000003088652,4.885925e-7,0.000007356702,0.0002036342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3236665,"threshold_uncertainty_score":0.281332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286247438839744,"score_gpt":0.3510061086204178,"score_spread":0.2223813647364434,"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."}}