{"id":"W6920760707","doi":"10.6073/pasta/75dc3a30a41963d946e71972561c0f25","title":"Vegetation Data Collected with Point Frame for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.","year":2022,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Frame (networking); Point (geometry); Vegetation classification; Identification (biology); Vegetation types","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":[0.000717243,0.001106308,0.000889609,0.003180126,0.0008277395,0.001000617,0.001295085,0.000854105,0.02382231],"category_scores_gemma":[0.003029116,0.0005278393,0.0005231219,0.006248589,0.000236259,0.0007921053,0.001117808,0.0009383208,0.02393664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492959,"about_ca_system_score_gemma":0.002642451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.181737,"about_ca_topic_score_gemma":0.3065563,"domain_scores_codex":[0.9993674,0.00005368453,0.00008450839,0.0002194884,0.0001865707,0.00008840555],"domain_scores_gemma":[0.998023,0.0002082482,0.0003015235,0.000238655,0.001037658,0.0001909215],"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":[0.00005496951,0.00004407229,0.01465571,0.000764726,0.00005387629,0.0000635957,0.0001432621,0.0004454853,0.0002828825,0.0007328423,0.9776283,0.005130352],"study_design_scores_gemma":[0.00007068757,0.00001628677,0.07141944,0.0005654142,0.00004736587,0.00008068809,0.0006034119,0.00039901,0.000455779,0.0007302639,0.9255694,0.000042217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005881056,0.000044951,0.00007358271,0.00002188666,0.0000134129,0.000009807743,0.9985428,0.00004608194,0.000659442],"genre_scores_gemma":[0.001411459,0.00004117106,0.0004121788,0.00001970795,0.000004102458,0.00008820699,0.9972408,0.00001911943,0.000763231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.181737,"threshold_uncertainty_score":0.3613583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915935571458318,"score_gpt":0.3006515839208769,"score_spread":0.2614922282062938,"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."}}