{"id":"W6977472689","doi":"10.6084/m9.figshare.c.3302922","title":"Four millennia of woodland structure and dynamics at the Arctic treeline of eastern Canada","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland; Black spruce; Vegetation (pathology); Taiga; Ecosystem; Arctic; Boreal; Fire regime; Charcoal; Fire ecology","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":[0.0002151473,0.0001307153,0.00009096099,0.0007958608,0.0009697677,0.0006932407,0.0003172815,0.000207513,0.001337964],"category_scores_gemma":[0.0004601032,0.0001166543,0.0001708273,0.0008942684,0.0002551064,0.000294628,0.0004461465,0.000209503,0.0001891439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005379213,"about_ca_system_score_gemma":0.004309601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741511,"about_ca_topic_score_gemma":0.9925355,"domain_scores_codex":[0.9999216,0.00000568123,0.000003539283,0.00001941707,0.00001906684,0.00003068208],"domain_scores_gemma":[0.9997203,0.000016675,0.00004021622,0.00001260728,0.0001362897,0.00007397756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004975135,0.0000134324,0.9791145,0.00002485408,0.00007138046,0.0001104949,0.001240213,0.0006136682,0.001003489,0.0002379233,0.001366356,0.01615386],"study_design_scores_gemma":[9.684543e-7,0.000002278362,0.9976132,0.0000107748,0.000007706893,0.0000208662,0.0005000368,0.0004132044,0.00005632054,0.00002778015,0.001343346,0.000003431079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9950132,0.000644683,0.0001438545,0.0001432029,0.000008216282,0.000004117556,0.002514858,0.00001488233,0.001512955],"genre_scores_gemma":[0.9964641,0.0004021955,0.0002219457,0.0000243065,0.000002403172,0.000002760577,0.001209497,0.000005821862,0.001666932],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02584893,"threshold_uncertainty_score":0.05200225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605328044933791,"score_gpt":0.2231232571159034,"score_spread":0.2070699766665655,"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."}}