{"id":"W2782212435","doi":"","title":"Wi-Fi enabled CTDs in citizen science","year":2017,"lang":"en","type":"article","venue":"OCEANS 2017 – Anchorage","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Citizen science; Ocean observations; General partnership; Ocean science; Oceanography; Quality (philosophy); Marine conservation; Fisheries science; Geography; Environmental resource management; Fishery; Environmental science; Business; Fishing; Geology; Fisheries management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006861881,0.0001367886,0.0001401012,0.0001163226,0.0008278369,0.0004954963,0.001148741,0.00004123562,0.0005717119],"category_scores_gemma":[0.00008471754,0.0001210557,0.00003006456,0.00009977633,0.0004298711,0.001104849,0.0001189401,0.0001423493,0.0007309867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001769892,"about_ca_system_score_gemma":0.00002860668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731622,"about_ca_topic_score_gemma":0.0007284926,"domain_scores_codex":[0.9985687,0.00002192903,0.0001512801,0.000433755,0.0003616687,0.0004626439],"domain_scores_gemma":[0.9987578,0.00002275498,0.000100149,0.0009573011,0.000008418189,0.0001535191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001437161,0.00002168174,0.9673944,0.00001065133,0.000004046181,0.0001119127,0.00008831929,0.0002382256,0.0001124093,0.00007460875,0.00208084,0.02984861],"study_design_scores_gemma":[0.0002968324,0.00004890444,0.9841797,0.00003044075,0.00000513057,0.000003217822,0.00008596714,0.0009481612,0.0002189595,0.0003297195,0.01367869,0.0001742327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612005,0.0001749203,0.00003574219,0.0002247557,0.0008088828,0.0001431299,0.00007937965,0.00003146018,0.1373013],"genre_scores_gemma":[0.9964796,0.0002366345,0.0004383999,0.00008041677,0.0001705078,0.000001100406,0.00004125055,0.000003742796,0.00254829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352792,"threshold_uncertainty_score":0.9395599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057835307840179,"score_gpt":0.2509092849353241,"score_spread":0.2303309318569223,"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."}}