{"id":"W6888670354","doi":"10.21966/1.622315","title":"High-resolution record of 8-m seawater CO2 content entering Fanny Bay Oysters in Baynes Sound, British Columbia, Canada from March 2017 to November 2017","year":2017,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Seawater; Shore; Shellfish; Shrimp","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":[0.0002546762,0.000446873,0.0003942269,0.002196513,0.001642301,0.0008469264,0.0006126708,0.0003391373,0.002114097],"category_scores_gemma":[0.0006480789,0.0002169704,0.0001938195,0.003736783,0.0003918841,0.0003187806,0.0008888007,0.0005714257,0.001009852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003845763,"about_ca_system_score_gemma":0.007154949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.91475,"about_ca_topic_score_gemma":0.9779533,"domain_scores_codex":[0.9996457,0.000007510072,0.00001777121,0.00007887812,0.0001796055,0.00007060239],"domain_scores_gemma":[0.9982334,0.00003716245,0.0001000318,0.00004734814,0.001399231,0.0001827847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002541597,0.0001041115,0.8691052,0.0003804704,0.0001960834,0.0006016439,0.002452184,0.001015409,0.0125986,0.0001677075,0.06225131,0.05087315],"study_design_scores_gemma":[0.000009609311,0.000006609865,0.9894459,0.00005787965,0.00001464167,0.00003269552,0.0005567336,0.0002148731,0.0004742749,0.00001306982,0.009161303,0.00001249971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.777321,0.001077448,0.001115229,0.0004151216,0.0001136906,0.0002282299,0.1951577,0.0004576138,0.02411395],"genre_scores_gemma":[0.8211637,0.001690948,0.003667908,0.0003568996,0.00007945126,0.0003474034,0.1595549,0.0001541254,0.01298466],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08524996,"threshold_uncertainty_score":0.171504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754278363184444,"score_gpt":0.2660627746668279,"score_spread":0.2185199910349835,"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."}}