{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00137615,0.001495905,0.001115067,0.00464722,0.001320671,0.003739429,0.00158053,0.001373553,0.6449145],"category_scores_gemma":[0.006106399,0.0006747928,0.0005820012,0.0067691,0.0004394858,0.00253596,0.001492186,0.001578795,0.4841504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054085,"about_ca_system_score_gemma":0.00510658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02911948,"about_ca_topic_score_gemma":0.067631,"domain_scores_codex":[0.9983916,0.0001236421,0.0001396886,0.0003977914,0.0007871274,0.0001601008],"domain_scores_gemma":[0.9955018,0.0003892365,0.0003212725,0.000672725,0.002283301,0.0008316641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005140162,0.00002192485,0.00112365,0.0001610524,0.000005901579,0.00007064422,0.00004283468,0.00008379069,0.0002031719,0.00122917,0.850226,0.1467805],"study_design_scores_gemma":[0.000009336612,0.000005031463,0.001390534,0.00004077046,0.000002739104,0.00003800946,0.00003571921,0.0001017311,0.00009380322,0.0003560922,0.997922,0.00000426554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002102437,0.01028974,0.003449595,0.01066375,0.006552152,0.000174594,0.0579876,0.006285742,0.9024943],"genre_scores_gemma":[0.008721347,0.005576528,0.002533624,0.0007701757,0.001118247,0.00006524198,0.02576027,0.001440759,0.9540138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6449145,"threshold_uncertainty_score":0.5064863,"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."}}