{"id":"W4410157963","doi":"10.1093/ismeco/ycaf075","title":"Temporal dynamics and biogeography of sympagic and planktonic photosynthetic microbial eukaryotes during the under-ice Arctic bloom","year":2025,"lang":"en","type":"article","venue":"ISME Communications","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Centre National de la Recherche Scientifique; National Geographic Society; Institut chilien de l'Antarctique; Sorbonne Université; Ministry of Education - Singapore; Agence Nationale de la Recherche","keywords":"Bloom; Plankton; Arctic; Biogeography; Ecology; Biology; The arctic; Oceanography; Environmental science; Geography; Geology","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":[0.000230607,0.0001963778,0.0002455928,0.001057788,0.000443135,0.000588429,0.0001294495,0.0002184401,0.0004691688],"category_scores_gemma":[0.0003570639,0.0001109335,0.0001370286,0.0007574128,0.0002128934,0.0002778269,0.0004689276,0.0001964943,0.0001626408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000347605,"about_ca_system_score_gemma":0.0001950217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180941,"about_ca_topic_score_gemma":0.03679716,"domain_scores_codex":[0.9998692,0.00001682058,0.000008438627,0.00004331384,0.00002200377,0.00004006399],"domain_scores_gemma":[0.9996306,0.00003414285,0.0001486276,0.00001212162,0.0001012749,0.00007331524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001483763,0.00001498933,0.9690416,0.00002803778,0.00003152627,0.00008096868,0.0009155248,0.00006799558,0.02482713,0.0000396592,0.0001017986,0.004702359],"study_design_scores_gemma":[2.428979e-7,0.000008428106,0.9993942,0.000002411117,0.000002790768,0.00001851369,0.0002443921,0.00004079639,0.000165963,0.000003494977,0.0001177697,9.178645e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991744,0.0002119438,0.00004695588,0.00000898799,0.000001719519,0.000002034891,0.0003112815,0.000001731573,0.0002410161],"genre_scores_gemma":[0.9988772,0.0001907973,0.0001298354,0.00001448036,0.000006455447,0.000006544997,0.0005914164,0.000001603397,0.0001817373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0180941,"threshold_uncertainty_score":0.03597754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143794623598455,"score_gpt":0.2254243587672643,"score_spread":0.2182805641436658,"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."}}