{"id":"W7000929161","doi":"","title":"Implementing Connectivity Conservation in Canada","year":2021,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Variety (cybernetics)","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":[0.00210603,0.0004739088,0.0003396651,0.001462206,0.01135732,0.005764273,0.002408569,0.00168934,0.01262664],"category_scores_gemma":[0.005870078,0.0003984749,0.0006513871,0.002540414,0.00257798,0.001181222,0.003499562,0.001875844,0.0004429129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1089308,"about_ca_system_score_gemma":0.3997852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970506,"about_ca_topic_score_gemma":0.998888,"domain_scores_codex":[0.9956126,0.0004039139,0.00006589853,0.0002936505,0.001295322,0.002328611],"domain_scores_gemma":[0.9956769,0.0003093446,0.000108237,0.0001515656,0.002245867,0.001508138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002470123,0.0005253088,0.06869526,0.0004057642,0.0002219574,0.0008577601,0.004722705,0.05917804,0.002044635,0.2400958,0.2222,0.4008058],"study_design_scores_gemma":[0.0002470597,0.0004307397,0.1589394,0.0006994682,0.0003529367,0.0002715123,0.02746133,0.04660001,0.002883036,0.0335477,0.7283124,0.0002543041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3730287,0.003081459,0.01946429,0.0982166,0.0007881725,0.001157259,0.002113286,0.0008774421,0.5012728],"genre_scores_gemma":[0.8815529,0.001386948,0.01252179,0.005173757,0.00004859903,0.0001795564,0.0005900372,0.0001320152,0.09841441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1089308,"threshold_uncertainty_score":0.7903519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705819815032872,"score_gpt":0.2351014581429146,"score_spread":0.2180432599925859,"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."}}