{"id":"W6964952305","doi":"10.3389/fmars.2022.1018510.s008","title":"Table_6_Seasonal dynamics of major phytoplankton functional types in the coastal waters of the west coast of Canada derived from OLCI Sentinel 3A.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phytoplankton; Empirical orthogonal functions; Diatom; Ocean color; Ecological succession; Algal bloom; Bloom; Spatial distribution; Range (aeronautics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002060005,0.0006194076,0.0004206707,0.002426126,0.001327597,0.0009535113,0.0008372846,0.0002436276,0.08275244],"category_scores_gemma":[0.001198201,0.0002840453,0.0004527505,0.003842208,0.0002011107,0.0004047839,0.0003881708,0.0003788571,0.01023063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004585729,"about_ca_system_score_gemma":0.005954983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9162942,"about_ca_topic_score_gemma":0.9623246,"domain_scores_codex":[0.9998598,0.000003177353,0.00001017835,0.0000269371,0.0000667796,0.00003322508],"domain_scores_gemma":[0.9983593,0.00009790975,0.00009126279,0.00004295092,0.001330842,0.00007771359],"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":[0.0002088809,0.00004968619,0.1058768,0.001544944,0.0001364833,0.0002061155,0.0003437252,0.002588714,0.003984593,0.0004414289,0.8387879,0.04583083],"study_design_scores_gemma":[0.0001469588,0.00004112852,0.6768982,0.0004123727,0.00008158247,0.0001669875,0.001300194,0.003874105,0.003473858,0.0004485881,0.3130644,0.00009174462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009328155,0.00009079672,0.000311496,0.00007469525,0.00003596973,0.00007857554,0.9850453,0.0004888139,0.004546197],"genre_scores_gemma":[0.05694548,0.0003875073,0.006687514,0.0002572141,0.00003179008,0.0001957743,0.9185442,0.000439049,0.01651145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08370584,"threshold_uncertainty_score":0.2768345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842032388786737,"score_gpt":0.2143807974732284,"score_spread":0.195960473585361,"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."}}