{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340228,0.0006340091,0.0003799334,0.0008059434,0.006391287,0.004729085,0.001084279,0.002606792,0.2203101],"category_scores_gemma":[0.00399782,0.0003246831,0.0004149936,0.0005185844,0.001158055,0.002788215,0.005173284,0.004996355,0.0796205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656985,"about_ca_system_score_gemma":0.003610475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007958866,"about_ca_topic_score_gemma":0.02514715,"domain_scores_codex":[0.9986997,0.0001067472,0.00003820049,0.0002196354,0.0005519881,0.0003837267],"domain_scores_gemma":[0.9960667,0.0001999267,0.0001053823,0.0003841532,0.001000637,0.002243114],"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":[0.00006167519,0.0001143439,0.001345758,0.00007871677,0.000007660722,0.0005111007,0.0004573648,0.000101467,0.002104719,0.01976046,0.8563651,0.1190915],"study_design_scores_gemma":[0.000008202455,0.0000470892,0.0007732396,0.00004994629,0.000002252904,0.0001421568,0.0003827773,0.0000820616,0.000363963,0.002585966,0.9955541,0.000008219102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01088418,0.004108667,0.01128489,0.1313412,0.03295025,0.0003751831,0.0008621943,0.002585736,0.8056077],"genre_scores_gemma":[0.08270799,0.002729934,0.009349601,0.03642299,0.004189072,0.0001095105,0.0009458513,0.0009450582,0.8626],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2203101,"threshold_uncertainty_score":0.7370108,"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."}}