{"id":"W4389132967","doi":"10.2139/ssrn.4648347","title":"A Model of Time-Dependent Macromolecular and Elemental Composition of Phytoplankton","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Mount Allison University","funders":"","keywords":"Phytoplankton; Composition (language); Macromolecule; Environmental science; Chemistry; Oceanography; Nutrient; Geology; Art; Biochemistry; Organic chemistry; Literature","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":[0.0005044198,0.0007428087,0.0009853852,0.000683152,0.0007364257,0.001516246,0.002718067,0.003602264,0.005041786],"category_scores_gemma":[0.0024083,0.0006661669,0.001190519,0.0008602689,0.001270139,0.002432944,0.001114411,0.001186704,0.001068988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501983,"about_ca_system_score_gemma":0.001230917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267566,"about_ca_topic_score_gemma":0.004813164,"domain_scores_codex":[0.9997864,0.00004759178,0.00001003039,0.00007950849,0.00003687878,0.00003960796],"domain_scores_gemma":[0.9991401,0.0004175608,0.0001120876,0.00006969323,0.0001373261,0.000123144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006561234,0.00004958521,0.001298333,0.0001138176,0.00004306994,0.0002646887,0.0001275273,0.8878173,0.006359418,0.100115,0.001106321,0.002639402],"study_design_scores_gemma":[0.00001968774,0.0000133109,0.0003453825,0.000005287777,0.00001306794,0.00004049011,0.00001649295,0.9791439,0.0002468243,0.01967989,0.0004614008,0.00001436832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.392344,0.002012538,0.5436314,0.005626447,0.0004948833,0.0001279534,0.002850735,0.0009089455,0.05200308],"genre_scores_gemma":[0.926542,0.001105563,0.01643747,0.0004122677,0.0001702609,0.0002206533,0.000770981,0.0002172291,0.05412359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01267566,"threshold_uncertainty_score":0.0252037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257176464130003,"score_gpt":0.202585312875201,"score_spread":0.190013548233901,"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."}}