{"id":"W6890226139","doi":"10.34943/751a155e-9bd4-49aa-8977-b5fc17f3a290","title":"Tsawwassen - Swartz Bay Ferry Route Turbidity, Chlorophyll and Fluorescence Deployed 2016-02-03","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Turbidity; Chlorophyll a; Chlorophyll; Irradiance","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":[0.0007992789,0.001802069,0.0009673214,0.003382143,0.001139566,0.001879266,0.002173203,0.001181528,0.01453054],"category_scores_gemma":[0.004507473,0.0004534067,0.0006523507,0.006222121,0.0005466429,0.001270681,0.001629507,0.001362236,0.02581085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005052696,"about_ca_system_score_gemma":0.007090145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5887396,"about_ca_topic_score_gemma":0.7479283,"domain_scores_codex":[0.9990219,0.00007314438,0.00006095423,0.0001905124,0.0004404159,0.0002131246],"domain_scores_gemma":[0.9973717,0.000193073,0.000155924,0.0004204203,0.001561357,0.00029765],"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":[0.00005505528,0.00001867399,0.003227361,0.0002330175,0.00001949005,0.00004882659,0.00006051618,0.000632367,0.0001733147,0.0006285865,0.9914963,0.003406497],"study_design_scores_gemma":[0.0000585409,0.00001047991,0.01347405,0.0002501462,0.00001387304,0.00004901819,0.0003022212,0.001156382,0.0005301119,0.0009304915,0.9831846,0.00003991396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005246953,0.00005671409,0.0001262877,0.00009231277,0.00003132797,0.0000130842,0.9970223,0.0004426251,0.001690589],"genre_scores_gemma":[0.001053269,0.00005170138,0.0003489832,0.00002123108,0.000005419662,0.00002980427,0.997139,0.00005831277,0.001292257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4112604,"threshold_uncertainty_score":0.8273647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00792931842859493,"score_gpt":0.20911748374967,"score_spread":0.2011881653210751,"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."}}