{"id":"W3207651179","doi":"10.1016/j.mex.2021.101547","title":"Deliberative Q-method: A combined method for understanding the ecological value of urban ecosystem services and disservices","year":2021,"lang":"en","type":"article","venue":"MethodsX","topic":"Q Methodology Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Hashemite University","keywords":"Ecosystem services; Value (mathematics); Ecology; Ecosystem; Environmental science; Urban ecosystem; Environmental resource management; Environmental planning; Computer science; Urbanization; Biology; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02802119,0.0002530352,0.0008846699,0.0001677007,0.0006099034,0.0001997079,0.0009810705,0.0002461804,0.0001212709],"category_scores_gemma":[0.006641493,0.000153848,0.0002371429,0.001258855,0.000187662,0.0002060155,0.0004268746,0.0002541086,0.000006808248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000065242,"about_ca_system_score_gemma":0.0001245065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002950983,"about_ca_topic_score_gemma":0.0003215912,"domain_scores_codex":[0.9839344,0.01315356,0.001063785,0.0009195075,0.0005704839,0.0003582348],"domain_scores_gemma":[0.904407,0.09317315,0.0006663922,0.0009648935,0.0006567849,0.0001318114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002476851,0.0002099126,0.003577679,0.0001930986,0.0003147742,0.000006988176,0.0137641,0.0006573639,0.03438378,0.9182734,0.0005492867,0.02782193],"study_design_scores_gemma":[0.0006404604,0.000138624,0.009638665,0.00002876196,0.0001553364,0.00004181321,0.02094711,0.08024924,0.01562771,0.8687158,0.003607642,0.000208878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03578699,0.0004031843,0.9569124,0.004689036,0.0002882737,0.0007681935,0.0000900517,0.00004359544,0.00101826],"genre_scores_gemma":[0.06326172,0.00001080116,0.935212,0.0008255953,0.00006871521,0.0002339084,0.000008435586,0.00002012754,0.0003586894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08001959,"threshold_uncertainty_score":0.9711642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2935486828117788,"score_gpt":0.504857952213997,"score_spread":0.2113092694022182,"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."}}