{"id":"W4399086936","doi":"10.3354/meps14628","title":"Living under Arctic kelp forests: linking soft-bottom communities to kelp cover in the Canadian Arctic","year":2024,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ministère des Ressources naturelles et des Forêts; Fisheries and Oceans Canada; Université Laval; ArcticNet","funders":"","keywords":"Kelp; Kelp forest; Arctic; The arctic; Oceanography; Cover (algebra); Environmental science; Ecology; Geography; Fishery; Geology; Biology","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":[0.000461356,0.0003225128,0.0002788486,0.001666217,0.002456408,0.001068218,0.0007677107,0.0003367693,0.001324044],"category_scores_gemma":[0.001434171,0.0002014893,0.0004537596,0.002592399,0.0006657229,0.0004168073,0.001057277,0.0004394454,0.0001148619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008338042,"about_ca_system_score_gemma":0.01140749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864951,"about_ca_topic_score_gemma":0.9962418,"domain_scores_codex":[0.9995368,0.000027196,0.0000231527,0.00009585627,0.0001400245,0.0001770774],"domain_scores_gemma":[0.9985514,0.00008863174,0.0002806846,0.00004225511,0.0006679463,0.0003690609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002320568,0.00000694725,0.9953885,0.00002131787,0.00004380667,0.00003209507,0.0006999859,0.0001162755,0.0002599241,0.00004908375,0.0002963993,0.003062404],"study_design_scores_gemma":[4.198699e-7,0.000003174525,0.9985097,0.00001158702,0.000009030839,0.00001379881,0.0009749564,0.0001252455,0.00001990535,0.00001273692,0.000315634,0.000003701015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959868,0.0004663643,0.0001388525,0.0001376533,0.000007817166,0.00001047793,0.001823614,0.000006093766,0.001422317],"genre_scores_gemma":[0.9983934,0.0002772608,0.0002137485,0.00003700257,0.000002811459,0.000005844726,0.0007505747,0.000003090682,0.0003161901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350486,"threshold_uncertainty_score":0.06049705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522562098747171,"score_gpt":0.2217990210296479,"score_spread":0.2065734000421762,"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."}}