{"id":"W6964959566","doi":"10.34943/c8abd151-a699-46e5-8a5f-0fb04a8fdd0b","title":"Horseshoe Bay - Departure Bay Ferry Route Turbidity, Chlorophyll and Fluorescence Deployed 2022-07-08","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Turbidity; Chlorophyll a; Estuary; Horseshoe crab; Chlorophyll","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":[0.0007921993,0.001507403,0.0007856427,0.00199273,0.0009868578,0.001650486,0.002091252,0.001449924,0.02190604],"category_scores_gemma":[0.003231174,0.0004057316,0.0005503871,0.003657231,0.0003913463,0.001039703,0.001382518,0.001304284,0.03852246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002564025,"about_ca_system_score_gemma":0.003011826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2316321,"about_ca_topic_score_gemma":0.3764515,"domain_scores_codex":[0.9991614,0.00008814741,0.00005286946,0.0002000547,0.0003157207,0.0001817633],"domain_scores_gemma":[0.9982734,0.0001729642,0.0001079341,0.0003501247,0.0008730754,0.0002224495],"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":[0.0000464704,0.00002128333,0.001841243,0.0001361622,0.00001133724,0.00003176383,0.00003157013,0.0003621969,0.000140864,0.000391717,0.9950448,0.00194059],"study_design_scores_gemma":[0.0001215197,0.00001914703,0.01445737,0.0001750835,0.00001187726,0.00005125496,0.0002559636,0.001207425,0.000527505,0.0008844419,0.9822534,0.00003504102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004001433,0.00002424743,0.00006522364,0.00007258597,0.00002173024,0.0000111342,0.9979785,0.000279549,0.00114695],"genre_scores_gemma":[0.0007129232,0.00001651126,0.0002284865,0.0000228462,0.000004267903,0.00003053243,0.9981039,0.0000375445,0.0008430287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7683679,"threshold_uncertainty_score":0.4605677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005411406487068914,"score_gpt":0.1937272188273357,"score_spread":0.1883158123402668,"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."}}