{"id":"W6950871476","doi":"10.5683/sp2/u09a3s","title":"Supplementary materials: Monitoring recovery of overgrazed lichen communities on Hagemeister Island, southwestern Alaska","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overgrazing; Lichen; Climax; Biomass (ecology); Climax community; Rangeland; Forage","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":[0.0008718665,0.0009565486,0.000638578,0.002088502,0.0007126704,0.001281276,0.001237977,0.0009993579,0.03949234],"category_scores_gemma":[0.002831412,0.0004508763,0.0005456723,0.002819918,0.0002226638,0.0008417821,0.0009769468,0.0006283763,0.02069261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009045057,"about_ca_system_score_gemma":0.001239957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0798623,"about_ca_topic_score_gemma":0.1453027,"domain_scores_codex":[0.9996063,0.00006786196,0.00006103481,0.0001333869,0.00007936417,0.00005213086],"domain_scores_gemma":[0.9980988,0.0003901525,0.0002910734,0.000334813,0.0007113575,0.0001738213],"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":[0.0001885862,0.0001349909,0.07098789,0.001793255,0.0002426745,0.0002042531,0.0002357633,0.003471611,0.0008118239,0.0007709426,0.9075335,0.0136247],"study_design_scores_gemma":[0.0002428426,0.00007120084,0.1626636,0.0008996339,0.0001643943,0.0001718556,0.0007376776,0.003564092,0.00137817,0.001791471,0.8282256,0.00008946544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001241486,0.00006672059,0.00007522474,0.00003019092,0.0000171074,0.000008083945,0.9978747,0.000146392,0.0005400853],"genre_scores_gemma":[0.003845732,0.00004777991,0.0005438208,0.00002219516,0.000007946204,0.00005338303,0.9946479,0.00003073568,0.0008004351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0798623,"threshold_uncertainty_score":0.1587949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336862562648224,"score_gpt":0.2834039968674888,"score_spread":0.2500353712410066,"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."}}