{"id":"W4387705726","doi":"10.1177/26349817231207040","title":"Methods and insights on enabling geovisualisation for coastal communities of the North Shore of Vancouver","year":2023,"lang":"en","type":"article","venue":"Coastal Studies & Society","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Shore; Terrain; Land cover; Digital elevation model; Remote sensing; Lidar; Computer science; Environmental resource management; Geography; Data science; Cartography; Land use; Environmental science; Geology; Oceanography; Civil engineering; Engineering","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":[0.001716413,0.0004653925,0.0001710379,0.002393787,0.00163427,0.004699186,0.0009116704,0.0005175575,0.01077362],"category_scores_gemma":[0.00614593,0.0002870667,0.0003517217,0.002388939,0.0008194849,0.001298926,0.002843437,0.0006380675,0.001167411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003621696,"about_ca_system_score_gemma":0.005415338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4024993,"about_ca_topic_score_gemma":0.5670985,"domain_scores_codex":[0.9988711,0.0004089177,0.00004147886,0.0001315658,0.0003685336,0.000178366],"domain_scores_gemma":[0.997771,0.000841524,0.00009275251,0.0002713495,0.0007813085,0.0002420523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002825726,0.0004864743,0.05059491,0.00150493,0.00007842792,0.001491315,0.06414988,0.01952712,0.0120318,0.06767748,0.03908744,0.7430876],"study_design_scores_gemma":[0.0001347685,0.0001549489,0.09861754,0.002201006,0.00008914917,0.0008716301,0.111799,0.08797962,0.01339682,0.04663,0.6378689,0.0002565598],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4032205,0.001657298,0.232298,0.008453821,0.0001984209,0.002248211,0.01089659,0.003374968,0.3376523],"genre_scores_gemma":[0.6558371,0.001701507,0.3004068,0.0003890635,0.0000376836,0.0009821462,0.005035608,0.0006636409,0.03494643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5975007,"threshold_uncertainty_score":0.8003131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551265581140456,"score_gpt":0.3125585198465217,"score_spread":0.2574319617324761,"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."}}