{"id":"W6996568406","doi":"","title":"Soft path approach as a water management strategy: a case study in Thunder Bay, Ontario / by Allison Buonocore","year":2017,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thunder; Work (physics); Population; Process (computing); Government (linguistics)","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":[0.001837432,0.0003878446,0.0002507068,0.0006006159,0.02376268,0.003084594,0.001472706,0.00166988,0.004912298],"category_scores_gemma":[0.002246523,0.0003336886,0.0002300763,0.001525188,0.005025087,0.001167645,0.002792518,0.001740578,0.0003424315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04645677,"about_ca_system_score_gemma":0.04200065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9049897,"about_ca_topic_score_gemma":0.9791036,"domain_scores_codex":[0.9980147,0.0008779098,0.00003688462,0.0001199582,0.0003223643,0.0006281006],"domain_scores_gemma":[0.998313,0.0004219158,0.0001283615,0.00005169487,0.0003733464,0.0007117171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008226596,0.0004400015,0.03359198,0.0003250255,0.0000178961,0.01879483,0.8826448,0.0007381327,0.002782639,0.008440474,0.01655247,0.03558948],"study_design_scores_gemma":[0.000008813813,0.000127109,0.02057851,0.00009617751,0.000007425097,0.0004418985,0.906871,0.0003898471,0.0003298303,0.0003063276,0.07082307,0.00001995371],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95097,0.0006145525,0.0008704825,0.008619684,0.0000554499,0.0003040353,0.00007783797,0.00002243656,0.03846553],"genre_scores_gemma":[0.9574606,0.001311285,0.002063409,0.001375582,0.00001747904,0.0001568824,0.00006124883,0.00003861626,0.03751494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09501034,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111707492992342,"score_gpt":0.2736195305978429,"score_spread":0.2425024556679195,"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."}}