{"id":"W6901937532","doi":"10.6073/pasta/89a6d43181bb1d978f7dd79f04e2ea2f","title":"Site, environmental and stand data across an age since fire range of 6-338 years for 30 sites in northern Yukon and central Alaska","year":2013,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Fire history; Climate change; Mountain range (options)","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":[0.0007745325,0.001427621,0.001311032,0.004900929,0.0007310855,0.001303622,0.00188241,0.0009732696,0.01926358],"category_scores_gemma":[0.002680004,0.0009187778,0.0008435819,0.01455736,0.0003211269,0.0009343709,0.001148229,0.0009742238,0.01722729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075565,"about_ca_system_score_gemma":0.005031141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3791544,"about_ca_topic_score_gemma":0.5363846,"domain_scores_codex":[0.9992724,0.00004857354,0.0001233428,0.0001808204,0.0002221836,0.0001527752],"domain_scores_gemma":[0.9976242,0.0002157177,0.0004235798,0.0003540016,0.00117643,0.0002060028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001891556,0.00009873444,0.05585984,0.001371103,0.0003046904,0.0001241039,0.0002942004,0.002684678,0.0003695721,0.0006855071,0.9291888,0.00882964],"study_design_scores_gemma":[0.0002320292,0.00002849922,0.2196698,0.0006068642,0.0002017344,0.0001464744,0.001243682,0.001423829,0.0008712605,0.001115159,0.7743613,0.00009946075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000926402,0.00003517453,0.0000556746,0.00001199105,0.000005765382,0.000008612223,0.9985026,0.00005535831,0.0003984122],"genre_scores_gemma":[0.002908116,0.00005387858,0.0002655059,0.00001508567,0.000002384093,0.00009504227,0.9952713,0.00002288394,0.001365884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6208456,"threshold_uncertainty_score":0.753895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332891683180566,"score_gpt":0.2989405424267337,"score_spread":0.235611625594928,"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."}}