{"id":"W1527095780","doi":"10.54782/001c.132936","title":"Cloud Seeding Potential of Industrial Particulates","year":2000,"lang":"en","type":"article","venue":"The Journal of Weather Modification","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"University of Oxford","keywords":"Cloud seeding; Effluent; Environmental science; Seeding; Stack (abstract data type); Particulates; Pollution; Waste management; Environmental chemistry; Environmental engineering; Chemistry; Engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384883,0.0002247847,0.0001341011,0.0006371166,0.0007351877,0.0007612108,0.0003486927,0.0002584779,0.002700926],"category_scores_gemma":[0.000450526,0.0001093942,0.0002052453,0.0003455929,0.0003056626,0.0002952649,0.0003814004,0.0002454518,0.0003416813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124829,"about_ca_system_score_gemma":0.0005107589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02768331,"about_ca_topic_score_gemma":0.02545737,"domain_scores_codex":[0.9996841,0.0000150627,0.000008268639,0.00004974839,0.0001383834,0.0001044815],"domain_scores_gemma":[0.9996477,0.00007996531,0.00004970812,0.0000168207,0.000155977,0.00004977752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008293286,0.0001978689,0.1984614,0.0002306456,0.0000491232,0.001207644,0.0002473178,0.01063207,0.7531806,0.001397587,0.000682598,0.03288392],"study_design_scores_gemma":[0.00005833719,0.001074267,0.2781078,0.00005207196,0.00006702605,0.0006854899,0.00067451,0.01604606,0.6981183,0.0006943002,0.004395001,0.0000269187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926543,0.0004426656,0.000909733,0.00001967093,0.00000874784,0.00002513794,0.0001491389,0.00002827767,0.005762326],"genre_scores_gemma":[0.9988091,0.0001562228,0.0002903019,0.00001035769,0.000005752102,0.000004282535,0.0002154353,0.000003982233,0.0005047627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02768331,"threshold_uncertainty_score":0.05504435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784839263764725,"score_gpt":0.2186487413363709,"score_spread":0.2008003486987236,"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."}}