{"id":"W6927718613","doi":"10.34943/b7ae0252-9cda-493c-b4e4-e04762d3829e","title":"Tsawwassen - Duke Point Ferry Route Carbon Dioxide Sensor Deployed 2017-03-29","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon dioxide; Terminal (telecommunication); Software deployment; Seawater; Carbon dioxide sensor; Point (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728001,0.001887132,0.0009673692,0.00234876,0.00112094,0.001508241,0.002356181,0.001190212,0.01193694],"category_scores_gemma":[0.002641307,0.0003747404,0.000551164,0.004675554,0.00056636,0.001089861,0.001237868,0.001346671,0.02174298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004408415,"about_ca_system_score_gemma":0.006818337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5756246,"about_ca_topic_score_gemma":0.7595918,"domain_scores_codex":[0.9992255,0.00005736405,0.00003657286,0.0001538171,0.0003387829,0.0001879753],"domain_scores_gemma":[0.9984671,0.0001065979,0.00007085716,0.0002444433,0.0009191622,0.0001917875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004183053,0.00001605209,0.001459125,0.0001253638,0.00001455214,0.0000321998,0.00002589422,0.0006441793,0.0001276607,0.0004375054,0.9948335,0.002242192],"study_design_scores_gemma":[0.00008756816,0.00001536717,0.0112143,0.0001999895,0.00001754469,0.00006130336,0.0002729011,0.002826739,0.0008229351,0.001132746,0.9833037,0.00004496167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009035727,0.0001025626,0.0002079431,0.0001625106,0.00005682088,0.00002238976,0.9951352,0.0008344951,0.002574363],"genre_scores_gemma":[0.001697177,0.00006584779,0.000362348,0.00002820515,0.000007256286,0.00003115931,0.996444,0.00006595608,0.001298116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5756246,"threshold_uncertainty_score":0.8537492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134364233998199,"score_gpt":0.2402722839606823,"score_spread":0.2268358605608624,"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."}}