{"id":"W3196121542","doi":"10.1021/acsearthspacechem.1c00193","title":"Understanding Sources of Atmospheric Hydrogen Chloride in Coastal Spring and Continental Winter","year":2021,"lang":"en","type":"article","venue":"ACS Earth and Space Chemistry","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Spring (device); Environmental science; Oceanography; Continental shelf; Climatology; Chloride; Geography; Meteorology; Geology; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001841577,0.0004650643,0.0002419335,0.0007019232,0.0007083464,0.001269387,0.0006570457,0.0005189449,0.0005824873],"category_scores_gemma":[0.000263548,0.0003642609,0.0003408244,0.0008311548,0.000289734,0.0004824699,0.0004211672,0.0002318928,0.0001459402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004524068,"about_ca_system_score_gemma":0.001948153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.750905,"about_ca_topic_score_gemma":0.7771982,"domain_scores_codex":[0.9998945,0.000003755786,0.000004798865,0.00003221995,0.00002533378,0.00003935135],"domain_scores_gemma":[0.9998624,0.00001700102,0.00002650935,0.000006683396,0.00005853558,0.00002887561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002064008,0.00007295208,0.9395416,0.00008025907,0.00009882133,0.0005062543,0.0007683947,0.00731326,0.03638848,0.0003000197,0.0009095768,0.01381392],"study_design_scores_gemma":[0.00001009167,0.00001733601,0.9865715,0.00000904348,0.00002417948,0.00002548527,0.0006431974,0.009738748,0.002015745,0.00006235183,0.0008706781,0.00001169716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968662,0.0002414806,0.0003345813,0.00009486985,0.000003869201,0.00001292946,0.0008627505,0.00003317524,0.001550089],"genre_scores_gemma":[0.9979666,0.0002579342,0.0003500664,0.00002548993,0.000003827125,0.000006338323,0.0009186507,0.00001195735,0.0004592058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.750905,"threshold_uncertainty_score":0.501124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613718216738323,"score_gpt":0.1900759747399501,"score_spread":0.1739387925725669,"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."}}