{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001210197,0.0001854915,0.0002413155,0.00001553273,0.0002667455,0.00006939439,0.0003799143,0.0001145609,0.5323879],"category_scores_gemma":[0.002588799,0.0001931731,0.0001311053,0.0001631979,0.00009643174,0.000259569,0.0006954624,0.0002211043,0.09357499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007691407,"about_ca_system_score_gemma":0.0003272646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1049442,"about_ca_topic_score_gemma":0.3573376,"domain_scores_codex":[0.997414,0.000212972,0.0004170628,0.001317163,0.0002912382,0.0003475512],"domain_scores_gemma":[0.997668,0.000535576,0.0001827814,0.001394138,0.00006124548,0.0001582384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000907944,0.0005809037,0.8044684,0.00002190539,0.00009789289,0.00006836462,0.0002258819,0.001849899,0.01041528,0.001452601,0.1714843,0.009243813],"study_design_scores_gemma":[0.0003941475,0.000001602189,0.5676301,0.00001244289,0.00003577683,0.0000666143,0.0001931616,0.002625905,0.01366052,0.003438845,0.4116447,0.0002961762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402195,5.933536e-7,0.00153637,0.001646342,0.0003654203,0.0004500846,0.00003163428,0.00004717555,0.2557029],"genre_scores_gemma":[0.9169487,0.00001818787,0.001323309,0.001213771,0.0000508965,0.0002682034,0.00003821512,0.00001759103,0.08012114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4388129,"threshold_uncertainty_score":0.9071308,"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."}}