{"id":"W6924792641","doi":"10.1594/pangaea.972609","title":"Seawater carbonate chemistry and nearshore microbial communities of the Pacific Northwest coasts of Canada and the U.S","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbonate; Pelagic zone; Seawater; Ocean chemistry; Ocean acidification; Latitude; Spring (device); Benthos","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":[0.0003993812,0.0009066291,0.0006262727,0.002807335,0.001534855,0.001144754,0.001577721,0.0006708641,0.005443383],"category_scores_gemma":[0.001646458,0.0004319966,0.0006741012,0.006468023,0.0006281269,0.0003844656,0.001449233,0.0008535083,0.003553027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005922299,"about_ca_system_score_gemma":0.01216431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.948016,"about_ca_topic_score_gemma":0.9754797,"domain_scores_codex":[0.9996112,0.00002085347,0.00002183252,0.0001032008,0.0001096504,0.000133371],"domain_scores_gemma":[0.9989152,0.00008129808,0.0000970302,0.0001470276,0.0005733352,0.0001860245],"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":[0.0006106939,0.0002356518,0.330779,0.001165593,0.0004290544,0.0004734388,0.00123684,0.003161328,0.001752953,0.00144924,0.6179613,0.04074485],"study_design_scores_gemma":[0.0001695261,0.00003312265,0.7137517,0.000357722,0.0001234163,0.0002432015,0.001700936,0.001994979,0.001080496,0.0007095935,0.2797366,0.00009864502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05117032,0.0002829395,0.0001599905,0.0001103777,0.00002446344,0.00004002563,0.9459283,0.000188594,0.002094914],"genre_scores_gemma":[0.03224815,0.0001998168,0.0006883799,0.0000382765,0.000006005871,0.0000750579,0.964627,0.00004491316,0.002072339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05198395,"threshold_uncertainty_score":0.1045802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078711012370239,"score_gpt":0.2301910896096871,"score_spread":0.2194039794859848,"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."}}