{"id":"W2536986253","doi":"10.1109/aipr.2008.4906461","title":"Temporal structure methods for image-based change analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Probabilistic latent semantic analysis; Computer science; Change detection; Probabilistic logic; Artificial intelligence; Image (mathematics); Pattern recognition (psychology); Term (time); Latent semantic analysis; Bag-of-words model; Data mining","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":[0.001139695,0.000824611,0.0008653142,0.004279567,0.0004824683,0.001219725,0.001098974,0.0007991327,0.003417463],"category_scores_gemma":[0.004155786,0.0004553611,0.001178414,0.003957696,0.000749709,0.001895889,0.0009698115,0.001277321,0.001392993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008158133,"about_ca_system_score_gemma":0.0006851429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003716355,"about_ca_topic_score_gemma":0.004229201,"domain_scores_codex":[0.9991869,0.0001721205,0.00005771219,0.0002037707,0.0003277617,0.00005157027],"domain_scores_gemma":[0.9984283,0.0008095243,0.000240411,0.0002311787,0.0002421311,0.00004851141],"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":[0.0001171789,0.0001138509,0.002614224,0.0002984554,0.0002036805,0.0001173953,0.0001507638,0.09593807,0.01548947,0.04826874,0.005149787,0.8315384],"study_design_scores_gemma":[0.00001517865,0.00003568475,0.002088459,0.00003077996,0.00003967316,0.0001425208,0.00006300905,0.9424115,0.003843352,0.04304343,0.008256855,0.00002957637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002182999,0.0004725162,0.9958172,0.00008191633,0.00003827532,0.00003087793,0.0001319737,0.0005759146,0.0006682135],"genre_scores_gemma":[0.1204047,0.001155294,0.8743811,0.0001241166,0.000308893,0.0002702698,0.0009162228,0.0002817389,0.002157715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004279567,"threshold_uncertainty_score":0.01143253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06778757712944315,"score_gpt":0.3362401386018949,"score_spread":0.2684525614724518,"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."}}