{"id":"W6887748932","doi":"10.17605/osf.io/z2qs3","title":"AREAS IMPORTANT FOR ECOLOGICAL CONNECTIVITY THROUGHOUT CANADA","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscape connectivity; Land cover; Variety (cybernetics); Wildlife; Upstream (networking); Land use; National park; Natural (archaeology)","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":[0.0001429883,0.0001840462,0.0001413926,0.0008810321,0.00173583,0.001207372,0.0003122289,0.000150301,0.002977139],"category_scores_gemma":[0.001218167,0.0001481259,0.0002551005,0.001447491,0.0004862389,0.0004034679,0.0006454044,0.0002317039,0.00009219122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009404101,"about_ca_system_score_gemma":0.01102988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833586,"about_ca_topic_score_gemma":0.992888,"domain_scores_codex":[0.9998401,0.00001300611,0.000005897899,0.00005130617,0.00004349487,0.00004618782],"domain_scores_gemma":[0.9995232,0.0000673578,0.00008258471,0.00002198607,0.0002366102,0.0000682474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006003541,0.00001734397,0.8487694,0.0001410631,0.0001151227,0.0002893462,0.002553145,0.03080099,0.002725246,0.0170452,0.006088539,0.09139457],"study_design_scores_gemma":[0.00000508847,0.00001068869,0.9606094,0.0000584485,0.00006460126,0.0001530576,0.001630262,0.02287397,0.0002924887,0.002102995,0.01217599,0.00002306148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731299,0.0004539478,0.0056851,0.000530446,0.00000753978,0.00003264569,0.004303735,0.0001466778,0.01570999],"genre_scores_gemma":[0.9947654,0.0002043143,0.002527897,0.00002311182,0.000001477878,0.000008775778,0.0008245088,0.00001020558,0.001634318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664144,"threshold_uncertainty_score":0.06823188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141357424355548,"score_gpt":0.2506535646921818,"score_spread":0.236517822256627,"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."}}