{"id":"W6987484009","doi":"","title":"Studying marine fog using Weather Research and Forecast (WRF) model","year":2021,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Visibility; Advection; Settling; Submarine pipeline; Deposition (geology); Turbulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001283133,0.0005270223,0.0003639575,0.000281717,0.000369995,0.0006438571,0.0003895862,0.0006659057,0.001267048],"category_scores_gemma":[0.0003651205,0.000170068,0.0006101927,0.0002838495,0.0001726664,0.0005010513,0.000273847,0.0005581601,0.0001571063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366048,"about_ca_system_score_gemma":0.0006842623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1029177,"about_ca_topic_score_gemma":0.06465316,"domain_scores_codex":[0.9999372,0.000009928524,0.000004009196,0.00001257713,0.00001745965,0.00001891178],"domain_scores_gemma":[0.9998882,0.0000395148,0.0000140298,0.00001015018,0.00003139453,0.00001674254],"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":[0.00005481008,0.0001181519,0.01287568,0.00003943273,0.00005047463,0.0001945791,0.00003990147,0.9737578,0.003221495,0.000642951,0.001517812,0.007486933],"study_design_scores_gemma":[0.00001927018,0.00003398544,0.004014521,0.000004739927,0.00001463773,0.00001705832,0.0000340627,0.9941807,0.0007303726,0.0001566611,0.0007841956,0.00000966473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674664,0.0002412414,0.01046455,0.0004273997,0.000140692,0.0000809534,0.001898376,0.0005170783,0.01876327],"genre_scores_gemma":[0.9898096,0.0002222705,0.006402717,0.00003578649,0.00002000499,0.00002803912,0.0009680348,0.00004528749,0.002468213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029177,"threshold_uncertainty_score":0.2046372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09786552097360296,"score_gpt":0.2381648225824109,"score_spread":0.1402993016088079,"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."}}