{"id":"W1671209010","doi":"10.1088/1367-2630/10/7/075017","title":"Turbulence, raindrops and the<i>l</i><sup>1/2</sup>number density law","year":2008,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Physics; Turbulence; Scaling; Drop (telecommunication); Power law; Wavenumber; Thermodynamics; Statistics; Optics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001976455,0.0001322372,0.0002564928,0.00001483619,0.0001049458,0.00002685808,0.0001904271,0.00004934932,0.00001297904],"category_scores_gemma":[0.00002832914,0.0001005539,0.0001059359,0.0001310385,0.000223631,0.0002451222,0.00003803028,0.0003839137,0.00003220737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004067905,"about_ca_system_score_gemma":0.0000359631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001717759,"about_ca_topic_score_gemma":0.000003159103,"domain_scores_codex":[0.9991518,0.0000381855,0.0002769922,0.00007438101,0.0002593466,0.000199323],"domain_scores_gemma":[0.99941,0.0001286688,0.00006760652,0.0001822202,0.00008162713,0.0001298257],"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":[0.0002785813,0.0001338284,0.007654626,0.00007553299,0.0006100784,0.0004390201,0.009860157,0.7697908,0.003840216,0.1611848,0.02910872,0.01702364],"study_design_scores_gemma":[0.005980484,0.00006547337,0.002298133,0.00009695015,0.0001561601,0.002942635,0.00011114,0.917559,0.005076045,0.05747894,0.007748417,0.0004866232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877587,0.0002901146,0.006652318,0.0001212963,0.0001843295,0.0000585976,0.000002940687,0.00003408168,0.004897612],"genre_scores_gemma":[0.9967108,0.0002739888,0.00211079,0.0001790709,0.0005977443,5.524682e-7,4.317356e-7,0.00002393323,0.0001026834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1477682,"threshold_uncertainty_score":0.4100469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082945015461108,"score_gpt":0.2096226517038735,"score_spread":0.1987932015492624,"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."}}