{"id":"W1993719399","doi":"10.1016/s0169-2046(01)00156-6","title":"Alternative dispute resolution and the protection of natural areas in Ontario, Canada","year":2001,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negotiation; Dispute resolution; Mediation; Reactionary; Alternative dispute resolution; Government (linguistics); Business; Process (computing); Natural (archaeology); Natural resource; Environmental resource management; Public relations; Environmental planning; Political science; Law; Economics; Geography; Computer science; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003081438,0.0001884683,0.0005562949,0.001539567,0.02901216,0.007205216,0.002942359,0.00281915,0.009867689],"category_scores_gemma":[0.01106346,0.0005962404,0.0003484944,0.004156591,0.00639295,0.001575304,0.002974559,0.002954653,0.0003295474],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1440025,"about_ca_system_score_gemma":0.2072769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997448,"about_ca_topic_score_gemma":0.9994888,"domain_scores_codex":[0.994081,0.0008144759,0.000261537,0.0003159255,0.001981905,0.002545234],"domain_scores_gemma":[0.9912152,0.002335522,0.0008252971,0.0002874877,0.00316028,0.002176217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005808609,0.0003652981,0.1468549,0.001012204,0.000197303,0.006406833,0.1013472,0.01403016,0.001230069,0.3507991,0.2009059,0.1762701],"study_design_scores_gemma":[0.0002050597,0.00009068989,0.2474676,0.0006675899,0.0001164986,0.0008494762,0.0961623,0.006807803,0.0006014337,0.01912939,0.6277223,0.0001798719],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6290623,0.01392972,0.001794423,0.05322481,0.0003677011,0.000427357,0.001158346,0.00004159338,0.2999938],"genre_scores_gemma":[0.9169367,0.004668565,0.001281969,0.001931743,0.00005001455,0.00007823416,0.0002593505,0.00001968836,0.07477362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1440025,"threshold_uncertainty_score":0.9928358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913104777885084,"score_gpt":0.179592045840243,"score_spread":0.1704609980613922,"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."}}