{"id":"W3120843108","doi":"","title":"Measure to Manage: Ghost PLUZ Collector App","year":2017,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Recreation; Usability; Georeference; Fishing; Smartphone app; Data collection; Government (linguistics); Measure (data warehouse); Geography; Phone; Environmental resource management; Computer science; Business; Environmental planning; World Wide Web; Database; Environmental science; Human–computer interaction; Fishery; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":["insufficient_payload"],"category_scores_codex":[0.0004923168,0.0003049337,0.0003358471,0.000252502,0.0006931613,0.000618317,0.001156363,0.0001706565,0.001120477],"category_scores_gemma":[0.0002160709,0.0003049658,0.0001014886,0.0002543755,0.0001015374,0.0003755871,0.000261706,0.0001956401,0.002723923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378868,"about_ca_system_score_gemma":0.00002009086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000360778,"about_ca_topic_score_gemma":0.00005550866,"domain_scores_codex":[0.9978477,0.00001287978,0.0003069869,0.0007577642,0.0004901075,0.0005846151],"domain_scores_gemma":[0.9984511,0.00002405412,0.0002954736,0.0006874977,0.0003027398,0.0002391991],"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":[0.0002151398,0.0002002544,0.276235,0.0001088508,0.0002607837,0.00002379122,0.006229355,0.000001915452,0.0003661113,0.03417784,0.6678004,0.01438056],"study_design_scores_gemma":[0.0009487479,0.0001427578,0.4802193,0.0000896057,0.00009086041,0.000009862506,0.0007773323,0.00002096047,0.000328363,0.0007253504,0.5162328,0.0004140247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.265229,0.0001028897,0.0004059501,0.007381457,0.001424883,0.001404261,0.000007910976,0.0003702783,0.7236733],"genre_scores_gemma":[0.841489,0.000007831743,0.0006661892,0.0002102229,0.0005748086,0.0004262715,0.000005110231,0.0000751175,0.1565455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5762599,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951501435869002,"score_gpt":0.3252184881899656,"score_spread":0.2957034738312755,"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."}}