{"id":"W6965082188","doi":"10.3389/fmars.2022.916093.s001","title":"DataSheet_1_Succession of protistan functional traits is influenced by bloom timing.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trait; Trophic level; Bloom; Phytoplankton; Biogeography; Protist; Phenology; Ecological succession","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001052486,0.001800786,0.001381552,0.004580312,0.0005872225,0.002421015,0.001780077,0.001473595,0.6887975],"category_scores_gemma":[0.006488522,0.00127824,0.001214744,0.005425057,0.0003968286,0.003325404,0.002194531,0.001139897,0.2879426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634824,"about_ca_system_score_gemma":0.001221783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005799974,"about_ca_topic_score_gemma":0.007182637,"domain_scores_codex":[0.9992375,0.00007389151,0.0001771311,0.0001473045,0.0002453216,0.0001188649],"domain_scores_gemma":[0.9957886,0.002235972,0.0005064275,0.0003605102,0.0008355803,0.0002728688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004377569,0.00007216581,0.005065358,0.008706267,0.00008084262,0.0002162572,0.0002847895,0.0003209966,0.001348477,0.001029838,0.9636211,0.01881626],"study_design_scores_gemma":[0.0004798842,0.0001043226,0.0235879,0.001488894,0.00004352333,0.0002709314,0.0001741804,0.0003654016,0.001282104,0.001459375,0.9706653,0.00007836434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005125721,0.00008100627,0.0003252263,0.0001317153,0.00007211879,0.00007990705,0.9916563,0.002402234,0.004738976],"genre_scores_gemma":[0.004242714,0.0004403848,0.003545451,0.0003897694,0.0001156995,0.0006608464,0.9726212,0.004911906,0.01307205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6887975,"threshold_uncertainty_score":0.4438925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729270798383995,"score_gpt":0.2341831794478046,"score_spread":0.1868904714639646,"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."}}