{"id":"W4386183855","doi":"10.59962/9780774855426-001","title":"Acknowledgments","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Queen's University; York University; Shastri Indo-Canadian Institute","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003365383,0.0001536727,0.0003814299,0.00005508944,0.0004541397,0.0001291677,0.0006368009,0.0004971523,0.006633698],"category_scores_gemma":[0.00001589075,0.0004134426,0.0002311976,0.000009303835,0.001400173,0.0001370712,0.000313092,0.0003135663,0.0001296251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005200068,"about_ca_system_score_gemma":0.0001509528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3418887,"about_ca_topic_score_gemma":0.6433683,"domain_scores_codex":[0.9981266,0.0000575188,0.000218347,0.0004308046,0.0007396378,0.0004271133],"domain_scores_gemma":[0.9989134,0.00005026948,0.0003282932,0.0003169982,0.00008649528,0.0003045606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001751349,0.0004970026,0.0010754,0.00041182,0.001491352,0.002775555,0.01167979,0.000005338892,0.00009085593,0.02229632,0.71187,0.2476315],"study_design_scores_gemma":[0.0005899305,0.00006390621,0.0002472586,0.0003944104,0.0001385727,0.000004387489,0.0005151771,0.000001128392,0.000004521487,0.0005769278,0.9970797,0.0003840975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002765508,0.0002005836,0.000040705,0.000004701762,0.0002871912,0.0005871578,0.0004355567,0.00007480938,0.9956038],"genre_scores_gemma":[0.0092117,0.0005989887,0.0001644396,0.00003624074,0.00009666985,2.042575e-7,0.00003016487,0.00003989223,0.9898217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3014796,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984854952148522,"score_gpt":0.3010361392616021,"score_spread":0.2711875897401169,"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."}}