{"id":"W70082146","doi":"10.55016/ojs/sppp.v6i1.42408","title":"Instruments for Forest Habitat Connectivity","year":2013,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Habitat; Geography; Environmental science; Ecology; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00464481,0.0006014741,0.0005049507,0.0006993812,0.0007786809,0.002486312,0.001225227,0.001388816,0.02002309],"category_scores_gemma":[0.0134821,0.0003309677,0.0004174495,0.0007217677,0.002881644,0.003043471,0.001799534,0.00171404,0.0005485142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402574,"about_ca_system_score_gemma":0.0009575835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008630637,"about_ca_topic_score_gemma":0.001126486,"domain_scores_codex":[0.9974409,0.0009644676,0.0002035955,0.0003890591,0.0007068568,0.0002950304],"domain_scores_gemma":[0.9814858,0.009567083,0.003791554,0.003835973,0.0006258884,0.000693778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002353339,0.001997815,0.02266945,0.0006159437,0.0001772068,0.0004298178,0.0006949386,0.03777982,0.0307401,0.7858618,0.002377317,0.1143024],"study_design_scores_gemma":[0.002600833,0.005858155,0.07179411,0.0003634819,0.000534988,0.001321965,0.001603843,0.09611118,0.02259592,0.7366719,0.06030902,0.0002347393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046995,0.0005385058,0.1051165,0.001425509,0.0001233344,0.0009713066,0.0006756538,0.0002750912,0.1861746],"genre_scores_gemma":[0.9885939,0.0001004046,0.006924023,0.0001443096,0.00002099851,0.0003070661,0.00006228065,0.00001881146,0.003828124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02002309,"threshold_uncertainty_score":0.06698394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986186575768682,"score_gpt":0.2798852194009773,"score_spread":0.2500233536432904,"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."}}