{"id":"W6901904507","doi":"10.6084/m9.figshare.11466852","title":"No treeline advance over the last 50 years in subarctic western and central Canada and the problem of vegetation misclassification in remotely sensed data","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Tree line; Vegetation (pathology); Afforestation; Tree (set theory); Period (music); Climate change; Cover (algebra)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492378,0.0002069763,0.0002157179,0.001243238,0.001110328,0.001134787,0.0006532279,0.0002809844,0.001171625],"category_scores_gemma":[0.003994641,0.0001262304,0.000189544,0.003409887,0.0004609397,0.0005048672,0.0004181688,0.0003543419,0.0001593082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004818043,"about_ca_system_score_gemma":0.004333919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9493694,"about_ca_topic_score_gemma":0.9805365,"domain_scores_codex":[0.9991946,0.0000779051,0.00006381721,0.000246434,0.0002741321,0.0001431512],"domain_scores_gemma":[0.9962005,0.0005284068,0.001346776,0.0003025014,0.001324971,0.0002967886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003278297,0.000005906388,0.9895364,0.00003110772,0.00003808778,0.00004897298,0.00051529,0.0002605281,0.0002035196,0.0001041294,0.0005341348,0.008689122],"study_design_scores_gemma":[8.24889e-7,0.000002986998,0.998015,0.00001558693,0.00001051085,0.00002878814,0.0003620318,0.0002658083,0.0001021842,0.00002441155,0.001169042,0.00000283787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9912885,0.001682845,0.000523067,0.0002786111,0.00003389055,0.00001353815,0.003566199,0.00002030529,0.002592878],"genre_scores_gemma":[0.996056,0.0004222491,0.0004756445,0.0001283134,0.00001279679,0.000008129922,0.002016703,0.000008149632,0.0008720446],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05063063,"threshold_uncertainty_score":0.1018575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333317507653226,"score_gpt":0.2255816250715419,"score_spread":0.2022484499950096,"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."}}