{"id":"W2606093321","doi":"","title":"A methodology proposal for land cover change analysis using historical aerial photos","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Orthophoto; Land cover; Computer science; Thematic map; Comparability; Remote sensing; Segmentation; Change detection; Aerial image; Aerial photography; Geography; Cartography; Land use; Artificial intelligence; Mathematics; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01066041,0.001104443,0.001013962,0.005084497,0.001289221,0.005286239,0.003242491,0.002666204,0.01348705],"category_scores_gemma":[0.01778507,0.0009109792,0.002139348,0.00483098,0.001504063,0.003268995,0.003008691,0.001677757,0.005754539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064368,"about_ca_system_score_gemma":0.003014365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532509,"about_ca_topic_score_gemma":0.002292918,"domain_scores_codex":[0.9939208,0.002451526,0.0006827173,0.001489475,0.001177938,0.0002775164],"domain_scores_gemma":[0.9891149,0.003851692,0.0005880305,0.002204271,0.003895538,0.0003455475],"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":[0.0001583696,0.0004475888,0.01458753,0.00108213,0.0005222702,0.0007960966,0.001701133,0.01457453,0.01916532,0.3036662,0.03032059,0.6129783],"study_design_scores_gemma":[0.0001594034,0.0003992647,0.01079398,0.000501683,0.0003013775,0.001822467,0.002089072,0.1821496,0.01409254,0.6104929,0.176969,0.0002287049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007248216,0.0000351283,0.9967293,0.0003558788,0.00006849327,0.0004072651,0.0005077157,0.0003643594,0.0008070649],"genre_scores_gemma":[0.01681791,0.0001131863,0.9770383,0.0001872141,0.00009629718,0.001880546,0.00156878,0.0001838962,0.002113807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01348705,"threshold_uncertainty_score":0.0563783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432530512894601,"score_gpt":0.2707113245029273,"score_spread":0.1963860193739813,"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."}}