{"id":"W2806140496","doi":"","title":"The Fog Remote Sensing and Modeling (FRAM) field project and preliminary results","year":2006,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Meteorology; Winter storm; Aviation; Storm; Environmental science; Tornado; Geography; Climatology; Aeronautics; Engineering; Geology","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":[0.002175882,0.001025964,0.0005982968,0.0004439092,0.001010586,0.0006895975,0.0009489241,0.0006266399,0.001207632],"category_scores_gemma":[0.001097731,0.0003414381,0.0005525118,0.0004865319,0.00045628,0.0006322523,0.0008883664,0.0007572774,0.0002869547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383688,"about_ca_system_score_gemma":0.00251257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1184669,"about_ca_topic_score_gemma":0.1091202,"domain_scores_codex":[0.9993659,0.0001875425,0.00002024291,0.0001092171,0.0001635776,0.0001536166],"domain_scores_gemma":[0.9992427,0.0001478556,0.00003350166,0.0001061888,0.0002343139,0.0002355416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005661811,0.01138575,0.1813581,0.0008200923,0.0004120397,0.0009987029,0.001192516,0.2001756,0.07093029,0.007218775,0.06632169,0.4535246],"study_design_scores_gemma":[0.003853959,0.005296405,0.2815372,0.0003732186,0.0003436787,0.000407506,0.001540266,0.4728265,0.1014589,0.003486573,0.1285788,0.0002970804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091263,0.001839031,0.03257846,0.002370919,0.0002852399,0.002691419,0.01802682,0.002916974,0.03016496],"genre_scores_gemma":[0.8312637,0.001585193,0.1183576,0.0006510214,0.0002455701,0.0009498249,0.04024772,0.0004984091,0.006200995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184669,"threshold_uncertainty_score":0.2355546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162890384091446,"score_gpt":0.2268259432447294,"score_spread":0.215197039403815,"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."}}