{"id":"W4220691677","doi":"10.1007/s00227-022-04031-0","title":"Drivers of kelp distribution in the Gulf of St. Lawrence: insights from a transplant experiment","year":2022,"lang":"en","type":"article","venue":"Marine Biology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; ArcticNet; Université Laval; Simon Fraser University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kelp; Bay; Biology; Abiotic component; Habitat; Ecology; Kelp forest; Salinity; Biological dispersal; Fishery; Oceanography; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006948579,0.0001805511,0.0003033309,0.0002490909,0.000564296,0.0007585587,0.0005389829,0.0003206815,0.001173405],"category_scores_gemma":[0.001237371,0.0001322462,0.000265025,0.0005498792,0.0008051278,0.0004985397,0.0006115487,0.0006277448,0.000137063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232377,"about_ca_system_score_gemma":0.001989308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1936541,"about_ca_topic_score_gemma":0.404162,"domain_scores_codex":[0.999742,0.00006442881,0.00001205941,0.00008829172,0.00002779855,0.00006554234],"domain_scores_gemma":[0.998882,0.0002960856,0.0003099653,0.0001222493,0.000149577,0.0002401024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001307803,0.0003596151,0.9736092,0.00002341489,0.0001628156,0.0001344832,0.0007764401,0.001796354,0.01410414,0.001046388,0.0006255476,0.006053797],"study_design_scores_gemma":[0.0000478718,0.0002026369,0.9924408,0.00000791446,0.00007821363,0.00002674946,0.001885887,0.003268495,0.0009526021,0.0002970732,0.0007776006,0.00001407065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997324,0.000005039062,0.00003656302,0.00002699024,0.000001037807,0.000001014989,0.00008897197,0.000002208964,0.0001056966],"genre_scores_gemma":[0.9993518,0.0000156294,0.00006394599,0.00003144773,9.464567e-7,0.000006487466,0.0001718809,0.000002690366,0.0003551194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8063459,"threshold_uncertainty_score":0.3850538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139056707652565,"score_gpt":0.202092570880327,"score_spread":0.1907020038038013,"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."}}