{"id":"W6930437339","doi":"10.5281/zenodo.10949682","title":"Data and Processing from \"Carbon-centric dynamics of Earth's marine phytoplankton\"","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Argo; Raw data; Satellite; NetCDF; Data processing; Data file; File format; Table (database); Documentation","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":[0.001335502,0.001251066,0.0008051497,0.003816988,0.0009202299,0.00211465,0.001708773,0.0008258786,0.2352957],"category_scores_gemma":[0.005018573,0.0006335093,0.001143354,0.005188135,0.0002628564,0.002170449,0.002368803,0.001373427,0.2045035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228618,"about_ca_system_score_gemma":0.002960994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016467,"about_ca_topic_score_gemma":0.01859616,"domain_scores_codex":[0.9989043,0.00005540187,0.0001380486,0.0001913204,0.0006077088,0.0001032248],"domain_scores_gemma":[0.9960606,0.0003806831,0.0002074577,0.0007960784,0.002278035,0.0002772278],"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":[0.00006177007,0.00002070242,0.0013254,0.0002175678,0.00001057081,0.00002036553,0.00002939121,0.000187529,0.0006919627,0.0003239776,0.9810507,0.01606017],"study_design_scores_gemma":[0.000116591,0.00002521768,0.01409558,0.0002657516,0.00002696015,0.00005616529,0.0001090427,0.0005963813,0.003708446,0.001488319,0.979445,0.00006648253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007114873,0.000045305,0.001774438,0.0002433949,0.0002113025,0.0002091028,0.9740074,0.009043713,0.01375385],"genre_scores_gemma":[0.001950776,0.0001061677,0.007001274,0.0002460397,0.00007432991,0.0005523807,0.9727457,0.004946029,0.01237731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2352957,"threshold_uncertainty_score":0.7871424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302411709529462,"score_gpt":0.2193087720610138,"score_spread":0.1862846549657192,"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."}}