{"id":"W4403048311","doi":"","title":"A New Approach to Enhance Geospatial Data Selection in Geoportals: First Phase in Having an Ontology-Based Framework Applied for Supporting Natural Hazard Early Warning Systems in Nunavik, Québec","year":2024,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Geospatial analysis; Ontology; Warning system; Hazard; Natural (archaeology); Computer science; Natural hazard; Selection (genetic algorithm); Early warning system; Phase (matter); Geography; Data science; Cartography; Artificial intelligence; Meteorology; Ecology; Telecommunications; Archaeology; Biology","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":[0.00494838,0.0006182836,0.0005653671,0.003523825,0.002380377,0.00583848,0.001743398,0.0008018612,0.002430652],"category_scores_gemma":[0.005529726,0.0004887324,0.001409135,0.003087973,0.001929622,0.00400995,0.002997199,0.001447341,0.000621259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007106014,"about_ca_system_score_gemma":0.0172053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5438993,"about_ca_topic_score_gemma":0.6906436,"domain_scores_codex":[0.9975322,0.0005647934,0.0002969932,0.0004248059,0.0009708044,0.0002102399],"domain_scores_gemma":[0.9950605,0.0007710603,0.0001974004,0.0009508048,0.002640093,0.0003800679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00034711,0.001052542,0.05932776,0.001271542,0.0005619547,0.001567477,0.02117384,0.04046975,0.0756878,0.2903824,0.03899857,0.4691591],"study_design_scores_gemma":[0.00007029425,0.0001144764,0.02807841,0.0007229409,0.0006118454,0.0008805128,0.01245197,0.3568316,0.04970526,0.0523827,0.497823,0.0003269736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03611953,0.000170075,0.942452,0.002304207,0.00007719037,0.0005855406,0.002234712,0.004044525,0.01201216],"genre_scores_gemma":[0.1378551,0.0001772489,0.8516804,0.0002453493,0.00001658285,0.0001850223,0.002247799,0.0004558274,0.007136705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4561007,"threshold_uncertainty_score":0.9175736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838672196508923,"score_gpt":0.3277742201242561,"score_spread":0.2993874981591668,"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."}}