{"id":"W6946340036","doi":"10.26071/c18db702-9f2e-4441","title":"Saint John Harbour Macroalgal & Phytoplankton Monitoring Project (2020-2023)","year":2025,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Transect; Intertidal zone; Phytoplankton; Quadrat; Estuary; Harbour; Baseline (sea)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008439405,0.000692096,0.0004503991,0.001548574,0.0006485163,0.0009096873,0.001391043,0.0005618901,0.01555953],"category_scores_gemma":[0.00199076,0.0003177116,0.0004375241,0.003607382,0.0001877342,0.0004876826,0.001444748,0.0006395641,0.01005671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00326667,"about_ca_system_score_gemma":0.005338641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4315688,"about_ca_topic_score_gemma":0.5866405,"domain_scores_codex":[0.9995866,0.00004414774,0.00003542887,0.00009886958,0.0001594554,0.00007549571],"domain_scores_gemma":[0.9984712,0.00008495517,0.0001901648,0.0002099461,0.0007860724,0.0002576462],"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":[0.0001700979,0.00003972611,0.02216505,0.000420994,0.00008517018,0.00007042893,0.0001003487,0.0003829101,0.0004296969,0.0007351367,0.9659381,0.00946229],"study_design_scores_gemma":[0.0001302247,0.00003120054,0.1558944,0.0001936717,0.00003607004,0.00003695571,0.0003034736,0.001033582,0.001002772,0.0005541303,0.8407469,0.0000366648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001546519,0.00002826212,0.00007623651,0.00006475683,0.00001410278,0.00001256487,0.9970265,0.0000899027,0.001141232],"genre_scores_gemma":[0.002767827,0.00003311181,0.0005255228,0.0000565697,0.000004725095,0.00006056306,0.9944745,0.00002617996,0.002050979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5684312,"threshold_uncertainty_score":0.8581136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260617653965005,"score_gpt":0.2587031040917706,"score_spread":0.2460969275521206,"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."}}