{"id":"W6945152484","doi":"10.21966/wsvt-ew96","title":"Hakai Bulk and Size-Fractionated Chlorophyll and Phaeopigment Concentrations Collected by Niskin Bottle, Research","year":2021,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation","funders":"","keywords":"Chlorophyll a; Phytoplankton; Chlorophyll; Filter (signal processing); CTD","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":[0.001052536,0.001426403,0.00108878,0.004211469,0.0007558524,0.001298862,0.001586272,0.0009361808,0.02418415],"category_scores_gemma":[0.002989656,0.000478906,0.0006710255,0.008803055,0.0002700475,0.0009168486,0.001214821,0.001018497,0.0318124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158749,"about_ca_system_score_gemma":0.003252216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05545972,"about_ca_topic_score_gemma":0.07697876,"domain_scores_codex":[0.999112,0.00008108248,0.0001195796,0.0003035032,0.00021901,0.0001647797],"domain_scores_gemma":[0.9977924,0.0003361985,0.0003766788,0.0003682559,0.0009536726,0.0001727582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002141719,0.00006522431,0.02215237,0.00198022,0.0001426459,0.00008726971,0.00009561495,0.0006169119,0.0008953001,0.000639366,0.9633585,0.009752339],"study_design_scores_gemma":[0.0001439988,0.00002853015,0.06492898,0.0004417108,0.00009217156,0.00007978413,0.000342827,0.0005505052,0.001217918,0.0005007366,0.9316207,0.00005214885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004131955,0.00003378661,0.00003528987,0.00001213174,0.000007410794,0.000008284314,0.9991216,0.00004049459,0.0003278415],"genre_scores_gemma":[0.0009441014,0.00004048075,0.0002664653,0.0000156504,0.000003603691,0.00008296523,0.9981328,0.00002076837,0.0004932564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9445403,"threshold_uncertainty_score":0.1102738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056675908581298,"score_gpt":0.3408163959662716,"score_spread":0.3002496368804586,"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."}}