{"id":"W2888598538","doi":"10.1016/j.ecolmodel.2018.08.007","title":"Increasing the function in distance-based functional connectivity assessments: a modified spatial interaction model (SIM) approach","year":2018,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Alberta Innovates - Technology Futures; University of Calgary","keywords":"Computer science; Key (lock); Landscape connectivity; Function (biology); Functional connectivity; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003550663,0.001176481,0.001278017,0.001872196,0.000660471,0.001083067,0.002906309,0.001704512,0.001970943],"category_scores_gemma":[0.01125636,0.0006928424,0.002051852,0.001645291,0.0008134073,0.002658696,0.002212982,0.001400161,0.0003953435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084683,"about_ca_system_score_gemma":0.001037491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007007411,"about_ca_topic_score_gemma":0.01008103,"domain_scores_codex":[0.9982805,0.001115913,0.00007606295,0.0002727597,0.0001702424,0.0000844598],"domain_scores_gemma":[0.9953163,0.003257774,0.0004494165,0.0004995379,0.0003489578,0.0001279736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005404181,0.00006270963,0.004223723,0.00006500466,0.0001607668,0.00006881279,0.00007882791,0.9558213,0.0007869823,0.01998728,0.0005681066,0.01812244],"study_design_scores_gemma":[0.000003625034,0.00002621773,0.0003454027,0.000005733481,0.00002137903,0.00002405284,0.0000096796,0.9932256,0.00009449076,0.005982651,0.000255048,0.000006116975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06472825,0.00014076,0.932049,0.0003504522,0.00002955553,0.00005174085,0.0002226445,0.0002521526,0.002175434],"genre_scores_gemma":[0.7453727,0.0002342282,0.2500354,0.0002131236,0.00006409478,0.0002859628,0.0003370186,0.0001897416,0.003267719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007007411,"threshold_uncertainty_score":0.01877791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06505862581747132,"score_gpt":0.2714829788348301,"score_spread":0.2064243530173588,"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."}}