{"id":"W3031291055","doi":"","title":"Investigation of O2, NO3-, and associated parameters as indicators of Canadian Basin Deep Water ventilation","year":2010,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ventilation (architecture); Environmental science; Geography; Meteorology","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":[0.0002745602,0.0003001387,0.0001925214,0.0006988348,0.00130071,0.0007302837,0.0003986117,0.0002920771,0.0004776007],"category_scores_gemma":[0.0005085606,0.0001605026,0.0001432447,0.001485251,0.0004257358,0.0002276128,0.0002561229,0.0003059242,0.00005460969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00589529,"about_ca_system_score_gemma":0.007030186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9690754,"about_ca_topic_score_gemma":0.9865432,"domain_scores_codex":[0.9998166,0.00001229286,0.00000545946,0.00003306125,0.00008956699,0.00004311638],"domain_scores_gemma":[0.9995871,0.00004714659,0.00004107746,0.0000092118,0.0002474141,0.00006807223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004227116,0.00006820382,0.9359979,0.00006702288,0.0001078499,0.00009783862,0.0006518599,0.001217476,0.04528041,0.000292917,0.0005512108,0.01524461],"study_design_scores_gemma":[0.000002938031,0.00002327555,0.9957082,0.000003564571,0.00001674195,0.00001898485,0.0002545825,0.0008713358,0.002200868,0.00002390242,0.0008687814,0.00000668025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973175,0.0001977428,0.000191795,0.00002656622,0.000002540463,0.00001402134,0.0005402301,0.000007632493,0.00170197],"genre_scores_gemma":[0.9981862,0.0001386424,0.0004648772,0.00002156496,0.00000148147,0.000008892128,0.0003849328,0.000003410446,0.0007900135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03092456,"threshold_uncertainty_score":0.0622133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006691305596911208,"score_gpt":0.1828698334720334,"score_spread":0.1761785278751223,"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."}}