{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221649,0.00006210471,0.0001129887,0.00003673006,0.00002919927,0.00001087433,0.0001240309,0.00004991787,0.00009154728],"category_scores_gemma":[0.000006764485,0.00004238227,0.00005828315,0.00009760499,0.00002524365,0.00008650644,0.000003658935,0.0001328535,0.000008290835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002416055,"about_ca_system_score_gemma":0.000009793208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007144503,"about_ca_topic_score_gemma":5.685799e-7,"domain_scores_codex":[0.9994081,0.00002990663,0.0003128373,0.00002827181,0.0001379954,0.00008292674],"domain_scores_gemma":[0.9997067,0.00002279944,0.00008713911,0.0001078707,0.00004661454,0.00002882648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002032318,0.00005922205,0.000422918,0.000008723749,0.0001187742,0.000001616069,0.001728536,0.7662135,0.1912406,0.0004110458,0.001158211,0.03843362],"study_design_scores_gemma":[0.001743791,0.0002609224,0.005702212,0.0001146685,0.0003749661,0.0001530969,0.0005659002,0.9358625,0.04910415,0.002315259,0.003509997,0.0002924826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950248,0.0003038625,0.003950106,0.00007905034,0.000246236,0.0000497251,0.000002357544,0.00001312495,0.00033072],"genre_scores_gemma":[0.999068,0.0004117943,0.00007465878,0.000004627443,0.0003882235,4.242091e-7,7.001723e-7,0.00001169957,0.00003982976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.169649,"threshold_uncertainty_score":0.1728299,"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."}}