{"id":"W3007885485","doi":"","title":"Emerging Ocean Technologies: A Snapchat of New Sensors and Observing Platforms I eLightning","year":2020,"lang":"en","type":"article","venue":"Ocean Sciences Meeting 2020","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Emerging technologies; Computer science; Remote sensing; Internet privacy; Data science; Geography; Artificial intelligence","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":[0.0007674497,0.0002257587,0.0002892762,0.00007105714,0.0003492728,0.0000969835,0.001061369,0.0001127409,0.00003315594],"category_scores_gemma":[0.001222345,0.0001856039,0.00005373474,0.00123762,0.0009071068,0.0004861742,0.001609176,0.0002416975,0.00002492004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005283809,"about_ca_system_score_gemma":0.00002161532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186244,"about_ca_topic_score_gemma":0.000005486135,"domain_scores_codex":[0.9977666,0.000022994,0.0004203054,0.0006912783,0.000603526,0.0004953544],"domain_scores_gemma":[0.9991938,0.0001321853,0.0002634403,0.0002737134,0.000009820606,0.0001270711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001914238,0.0000209866,0.9120463,0.0001112974,0.0000205416,0.00002803116,0.01318134,0.00652832,0.04656669,0.0004079079,0.006539664,0.0145298],"study_design_scores_gemma":[0.001187042,0.001225673,0.02969404,0.0009886898,0.00008264094,0.00006091979,0.1058763,0.04543369,0.7845474,0.0183907,0.01033359,0.002179288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901062,0.0001934676,0.00009330626,0.007589873,0.0001059962,0.0001371629,0.000001930528,0.0007695779,0.001002441],"genre_scores_gemma":[0.9750385,0.00008407258,0.02466515,0.00009521535,0.00004937581,5.353829e-7,6.20112e-7,0.00001553944,0.00005095117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8823522,"threshold_uncertainty_score":0.7568709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04395232974352631,"score_gpt":0.265113114170854,"score_spread":0.2211607844273277,"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."}}