{"id":"W4391609951","doi":"10.3389/feart.2023.1321422","title":"Machine learning analysis and nowcasting of marine fog visibility using FATIMA Grand Banks campaign measurements","year":2024,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Office of Naval Research","keywords":"Nowcasting; Visibility; Meteorology; Environmental science; Relative humidity; Dew point; Wind speed; Geography","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":[0.000329212,0.0003960855,0.0002269812,0.0006168666,0.000222972,0.0004287495,0.0002874972,0.0002542645,0.0005595242],"category_scores_gemma":[0.0008040859,0.0000971961,0.0003467655,0.0005042175,0.0001494175,0.000240578,0.0002439535,0.0003313213,0.0001639611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006217287,"about_ca_system_score_gemma":0.0006293029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08164053,"about_ca_topic_score_gemma":0.09172611,"domain_scores_codex":[0.9998773,0.00001414231,0.000006175343,0.00003429154,0.00003952832,0.00002846108],"domain_scores_gemma":[0.9997646,0.0000682428,0.0000420824,0.00002435817,0.00007405108,0.00002670307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005286201,0.0003392195,0.6213737,0.0001319276,0.0002434442,0.0004125437,0.000334581,0.2175814,0.03120864,0.0005926896,0.003360779,0.1238924],"study_design_scores_gemma":[0.0000158536,0.0000907641,0.4263607,0.00002030444,0.00003091361,0.00004075039,0.0001373468,0.5656435,0.006349243,0.0001425687,0.001143617,0.00002438814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928121,0.00005372844,0.004504938,0.00005835433,0.0000194506,0.00001786026,0.0009039742,0.0002438299,0.001385821],"genre_scores_gemma":[0.9936015,0.00003258432,0.004669599,0.00001390153,0.00001275637,0.00001365345,0.001279046,0.00001338563,0.0003634792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08164053,"threshold_uncertainty_score":0.1623307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968516698633915,"score_gpt":0.2568901468976638,"score_spread":0.2172049799113246,"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."}}