{"id":"W7071725678","doi":"","title":"Testing the waters: mapping learning networks in Ontario water management","year":2007,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interdependence; Context (archaeology); Stakeholder; Water sector; Complement (music); Sociotechnical system; Delphi method","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":[0.001319207,0.0001865681,0.0001456191,0.002359488,0.003311952,0.00251638,0.0007500302,0.000546385,0.004138576],"category_scores_gemma":[0.007256946,0.0001563936,0.0001537344,0.003705196,0.002301217,0.002048874,0.002378726,0.0003485539,0.0002466631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01645792,"about_ca_system_score_gemma":0.01098191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7927629,"about_ca_topic_score_gemma":0.9020514,"domain_scores_codex":[0.9990004,0.000398005,0.00002517297,0.0001195765,0.0002828262,0.0001740603],"domain_scores_gemma":[0.9966248,0.00186977,0.0004571984,0.0001590498,0.0006380025,0.0002511457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003171344,0.0001464228,0.2370892,0.0005623486,0.00005161457,0.001674996,0.4355071,0.01466478,0.003807453,0.03198545,0.007953325,0.2662401],"study_design_scores_gemma":[0.00003354045,0.0001418893,0.256694,0.000487628,0.00005275938,0.0001973534,0.5538468,0.03851173,0.003676451,0.01604914,0.1302244,0.00008436894],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492794,0.0002721953,0.008063523,0.001139666,0.00001073926,0.0002311246,0.0006559112,0.00006919662,0.04027834],"genre_scores_gemma":[0.9869664,0.000259135,0.006601717,0.0000414563,0.000003072407,0.00009539639,0.0002653237,0.0000209003,0.005746619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2072371,"threshold_uncertainty_score":0.416915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09858468245271114,"score_gpt":0.3014155361207191,"score_spread":0.202830853668008,"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."}}