{"id":"W7067230196","doi":"","title":"The Lighthouse Keeper","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Tourism; Fishing; Order (exchange); Emerging technologies; Virtual reality","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":[0.0008987213,0.0007101917,0.0004278031,0.001168599,0.008262161,0.007132317,0.001779736,0.001684687,0.1709706],"category_scores_gemma":[0.001999955,0.000613288,0.0004691482,0.001450821,0.002183991,0.005526132,0.007517405,0.002172617,0.06882991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003822464,"about_ca_system_score_gemma":0.005927503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09819167,"about_ca_topic_score_gemma":0.2370273,"domain_scores_codex":[0.9986266,0.0001013914,0.00002783851,0.0002434169,0.0007179195,0.0002828571],"domain_scores_gemma":[0.9981824,0.0001048077,0.0000590856,0.0003292988,0.0005302269,0.0007941925],"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":[0.0001070287,0.00008430856,0.00209048,0.0001485308,0.00001111195,0.0004211534,0.00427188,0.00008373275,0.006094088,0.02216317,0.7606801,0.2038444],"study_design_scores_gemma":[0.000003040655,0.00001225861,0.0008320205,0.00002748496,0.000002838406,0.00009585347,0.0007843286,0.00005014004,0.0005042715,0.0005070208,0.9971702,0.00001066053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01474948,0.003391018,0.01965267,0.01545352,0.003894071,0.0003252697,0.00271145,0.007750832,0.9320717],"genre_scores_gemma":[0.03788109,0.002057821,0.01092455,0.002749545,0.0004360021,0.00009790547,0.001230053,0.001047203,0.9435758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1709706,"threshold_uncertainty_score":0.5719538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377808147708291,"score_gpt":0.2925123689619955,"score_spread":0.2387342874849125,"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."}}