{"id":"W6904496871","doi":"10.1371/journal.pone.0176706.s001","title":"S1 File -","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Biome; Boreal; Bottleneck; Climate change; Boreal ecosystem; Table (database); Environmental niche modelling","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":[0.001793381,0.002070228,0.002064225,0.002859842,0.001716775,0.0034799,0.003630073,0.001601644,0.9122932],"category_scores_gemma":[0.01799485,0.001450641,0.001250518,0.005907582,0.0005604295,0.003544689,0.002510384,0.002072629,0.6314116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110888,"about_ca_system_score_gemma":0.003239651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909617,"about_ca_topic_score_gemma":0.03321328,"domain_scores_codex":[0.9990564,0.0001103932,0.00009217826,0.0002848321,0.0002581614,0.0001980089],"domain_scores_gemma":[0.9920516,0.004330816,0.000321693,0.0008358457,0.002067687,0.0003923716],"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":[0.0000752886,0.00002751112,0.0004226558,0.0005898675,0.00001091107,0.00001804375,0.00003101796,0.0002069443,0.00008700926,0.0005036841,0.9932225,0.004804581],"study_design_scores_gemma":[0.0007431243,0.00006224481,0.004460915,0.0007051028,0.00003335995,0.0001121134,0.0002645683,0.001021739,0.0006710228,0.006526317,0.9853216,0.00007804977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00008895534,0.00001545996,0.0003626423,0.00007751153,0.00005524759,0.00004930862,0.9949728,0.001211339,0.003166813],"genre_scores_gemma":[0.001805616,0.00008730733,0.003550348,0.0004036349,0.00006137673,0.0007183195,0.9750322,0.003976615,0.01436469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9122932,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07727028614948864,"score_gpt":0.2769100301024635,"score_spread":0.1996397439529749,"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."}}