{"id":"W6943642025","doi":"10.1594/pangaea.974439","title":"Seawater carbonate chemistry and morphology and nutrient physiology of the cosmopolitan marine diatom Thalassiosira rotula","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Diatom; Carbonate; Seawater; Nutrient; Ocean acidification; Aquatic science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007933665,0.0008867815,0.0009759194,0.001429637,0.0006243188,0.001229818,0.001235974,0.0009819224,0.01487225],"category_scores_gemma":[0.001879,0.0003821185,0.0009731834,0.002220954,0.0003831493,0.0006774325,0.001652988,0.0009455515,0.01197356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006794672,"about_ca_system_score_gemma":0.0007869285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118864,"about_ca_topic_score_gemma":0.02297015,"domain_scores_codex":[0.999519,0.00006028447,0.00004180613,0.0002076856,0.00007946372,0.00009180133],"domain_scores_gemma":[0.9992957,0.0001755748,0.0001126368,0.0001967732,0.0001354964,0.00008376807],"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":[0.0009362498,0.0002753663,0.1099304,0.003965348,0.0005294225,0.000293804,0.000625249,0.005155622,0.007671796,0.002131482,0.8397534,0.02873177],"study_design_scores_gemma":[0.0004411622,0.0001111136,0.332805,0.0003934172,0.0002199995,0.0002709694,0.000437628,0.002414514,0.004002173,0.002586546,0.6561627,0.000154769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01004445,0.0001138165,0.0001670747,0.0000667585,0.00002179529,0.00001162341,0.9884143,0.0002369041,0.0009232735],"genre_scores_gemma":[0.01039346,0.00006387169,0.0009409765,0.00003775005,0.000008360551,0.00009720284,0.9876994,0.00009281637,0.0006661647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01487225,"threshold_uncertainty_score":0.04975265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213025869776147,"score_gpt":0.276436737272773,"score_spread":0.2643064785750115,"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."}}