{"id":"W3095515699","doi":"","title":"Land-Ocean Linkages Along Shallow Coastlines Under Human Impact I Poster Lightning","year":2018,"lang":"en","type":"article","venue":"2018 Ocean Sciences Meeting","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lightning (connector); Geology; Oceanography; Meteorology; Climatology; Geography; Power (physics)","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":[0.0009304002,0.000290278,0.0002742448,0.0001472879,0.001296868,0.0004168273,0.0005632691,0.00004856607,0.0003293735],"category_scores_gemma":[0.0000192048,0.000214945,0.0001271325,0.0004310278,0.0004895253,0.0003620074,0.0001365893,0.0001838016,0.0001163324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003465209,"about_ca_system_score_gemma":0.0001032998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008384577,"about_ca_topic_score_gemma":0.00003339826,"domain_scores_codex":[0.9977687,0.00008193951,0.0003762687,0.0005565343,0.0003890783,0.0008274966],"domain_scores_gemma":[0.9990892,0.0001132311,0.0002215977,0.0002749,0.000114914,0.000186112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005352248,0.00006342027,0.9863939,0.000007520906,0.00005531119,0.000001530583,0.001705427,0.0001240905,0.00648161,0.0008879725,0.003495457,0.0007784063],"study_design_scores_gemma":[0.006390658,0.01104016,0.7403121,0.002203944,0.0005183843,0.0000826436,0.01353718,0.02200842,0.1151792,0.07501283,0.006848556,0.006865934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341993,0.00007599676,0.0001520888,0.0003277088,0.0002856545,0.00009952171,0.000007933964,0.0001037802,0.06474803],"genre_scores_gemma":[0.9957615,0.000001008728,0.0007183424,0.0001545055,0.002392895,0.000001134081,0.00001493911,0.00002870583,0.0009270324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460818,"threshold_uncertainty_score":0.9974589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280473292805449,"score_gpt":0.2989028607340107,"score_spread":0.2760981278059562,"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."}}