{"id":"W3159209657","doi":"","title":"Predictive modelling of kelp (Laminariales) forest habitat around Haida Gwaii anticipating the return of sea otters (Enhydra lutris)","year":2018,"lang":"en","type":"article","venue":"Skemman","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kelp forest; Kelp; Fishery; Habitat; Ecology; Environmental science; Geography; Oceanography; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407322,0.0001315075,0.0002328838,0.0000642361,0.000150842,0.00001796208,0.0002833816,0.00008048066,0.000113895],"category_scores_gemma":[0.00004510084,0.000086401,0.00007085103,0.0001708945,0.0004065609,0.0001618173,0.00004218282,0.0001384845,0.00001811772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002603946,"about_ca_system_score_gemma":0.00004357818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02123287,"about_ca_topic_score_gemma":0.03314519,"domain_scores_codex":[0.9988658,0.0001070667,0.0003290849,0.0002161385,0.0001968542,0.0002850629],"domain_scores_gemma":[0.9991235,0.0002896765,0.0002193837,0.0002303124,0.00008296924,0.00005418139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002798042,0.00002238243,0.9729815,0.00005900772,0.00006349819,0.000008969484,0.0009344101,0.008524744,0.0002397859,0.000368574,0.0002462807,0.01627112],"study_design_scores_gemma":[0.0006197309,0.002005362,0.1769406,0.0001404245,0.0001041629,0.00003906167,0.001327593,0.8088253,0.002322387,0.004409636,0.002935097,0.0003306247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729611,0.00008862927,0.00161265,0.0001415778,0.0002793001,0.0001822966,0.0001380692,0.00001679594,0.0245796],"genre_scores_gemma":[0.9988217,0.00002815373,0.0004135078,0.00007431971,0.0002949148,0.000001082354,0.0001144835,0.000003903415,0.0002479219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8003006,"threshold_uncertainty_score":0.9852848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764480253496296,"score_gpt":0.2181022195749925,"score_spread":0.1904574170400295,"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."}}