{"id":"W2613400532","doi":"10.1021/cen-09422-scitech1","title":"Firm footing for cloud seeding","year":2016,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seeding; Cloud seeding; Cloud computing; Computer science; Business; Engineering; Aerospace engineering; Operating system","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":[0.00007888221,0.0000905198,0.00008544752,0.00002375427,0.00003999802,0.00001567953,0.00009369527,0.00004878488,0.00004501744],"category_scores_gemma":[0.00004743748,0.00007480263,0.00006191749,0.0001153917,0.00001529093,0.0001007344,0.000006945088,0.00003043075,0.00003478622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122561,"about_ca_system_score_gemma":0.00001044792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000406264,"about_ca_topic_score_gemma":0.00002196981,"domain_scores_codex":[0.9994361,0.000003651274,0.0001916592,0.0001151987,0.00006704008,0.0001863588],"domain_scores_gemma":[0.9997211,0.00004825487,0.00001795738,0.0001144365,0.00004580592,0.00005241983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000203984,0.0002887554,0.2398321,0.0007038838,0.000563544,0.00001802409,0.00294115,0.006689675,0.06168646,0.1667824,0.08580984,0.4344802],"study_design_scores_gemma":[0.008095008,0.0003201247,0.2262431,0.0009090298,0.0001979242,0.00002922439,0.0008762108,0.01313089,0.01215378,0.01068944,0.7255914,0.001763851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6274405,0.00006809374,0.3645467,0.0003945388,0.001335319,0.0002736794,0.0002651785,0.0005794038,0.005096582],"genre_scores_gemma":[0.9979554,0.000009876024,0.001626108,0.00007813999,0.0001469898,0.00003829762,0.00001312858,0.00001237784,0.000119641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6397816,"threshold_uncertainty_score":0.3050363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008896096730993484,"score_gpt":0.2424014652053544,"score_spread":0.2335053684743609,"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."}}