{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007366293,0.0008338519,0.0003448165,0.000912429,0.0005728217,0.001359803,0.00132301,0.0008900299,0.07700051],"category_scores_gemma":[0.00456978,0.000337559,0.0004692437,0.0002561651,0.0002719974,0.001169954,0.002094015,0.0005946466,0.02037891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713945,"about_ca_system_score_gemma":0.0008728606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630096,"about_ca_topic_score_gemma":0.007850487,"domain_scores_codex":[0.9995689,0.00008057577,0.00003445665,0.00007412666,0.0001760445,0.00006600296],"domain_scores_gemma":[0.9986746,0.0005613203,0.00008780217,0.0001594176,0.0002576744,0.0002592297],"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":[0.0006032176,0.0005831998,0.009427913,0.001440698,0.000043303,0.0007538775,0.00320533,0.0001810673,0.003080148,0.001690927,0.6106959,0.3682944],"study_design_scores_gemma":[0.0003030109,0.0005829213,0.04591108,0.001099378,0.0001429645,0.001213612,0.003049385,0.002908573,0.004393586,0.00327784,0.936916,0.0002017304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.1527852,0.004738483,0.0910858,0.01042722,0.003138813,0.01569305,0.04161924,0.2232667,0.4572455],"genre_scores_gemma":[0.4126163,0.002592992,0.2083068,0.009737911,0.0008554774,0.013607,0.02127721,0.01053381,0.3204726],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07700051,"threshold_uncertainty_score":0.2575923,"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."}}