{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007548373,0.0008845133,0.002097377,0.0004082874,0.0006131227,0.001418497,0.002704658,0.000733306,0.0006826682],"category_scores_gemma":[0.0005232893,0.001373647,0.0002748155,0.000223102,0.0006286041,0.001097072,0.001389016,0.001123386,0.001495611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731534,"about_ca_system_score_gemma":0.001936087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993351,"about_ca_topic_score_gemma":0.9999653,"domain_scores_codex":[0.9930891,0.000267413,0.001771648,0.001817221,0.001526045,0.001528616],"domain_scores_gemma":[0.9940623,0.0001069476,0.001468537,0.003225638,0.0005118646,0.0006247311],"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":[0.0002979233,0.0001664097,0.01190936,0.0003776349,0.0003687756,0.002286418,0.00003265193,0.0002007602,0.0004099859,7.107084e-7,0.9836553,0.0002941218],"study_design_scores_gemma":[0.002581561,0.0000919718,0.06688606,0.003503629,0.0002033518,0.00009812648,0.00004341308,0.00002850727,0.0000239434,0.00001666852,0.9252044,0.001318367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2376665,0.0001800895,0.00003409814,0.00008497576,0.008478303,0.001527526,0.7518231,0.00004966552,0.000155753],"genre_scores_gemma":[0.03496682,0.000172401,0.0005648995,0.0003190809,0.000676863,0.000384238,0.9594629,0.0001839248,0.003268844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2076398,"threshold_uncertainty_score":0.9996181,"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."}}