{"id":"W4240818985","doi":"10.4095/220090","title":"Investigation of multiscale product for change eetection in difference images","year":2004,"lang":"en","type":"report","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Product (mathematics); Computer science; Mathematics; Geometry","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":[0.002971536,0.0005487616,0.0005885642,0.001256019,0.0001780647,0.001102473,0.0006555673,0.0006866706,0.001111239],"category_scores_gemma":[0.01316385,0.0003226542,0.0005138342,0.0007767029,0.001051047,0.002022557,0.0007743568,0.0006549201,0.0001799298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955878,"about_ca_system_score_gemma":0.0002958617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003171376,"about_ca_topic_score_gemma":0.0002656215,"domain_scores_codex":[0.999045,0.0002214887,0.00004180763,0.0001536005,0.0004854973,0.00005256805],"domain_scores_gemma":[0.9899629,0.007047322,0.001161363,0.0007716755,0.0007903235,0.0002664063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001161701,0.0002502515,0.0156235,0.0005808094,0.0002063381,0.00112217,0.0004931823,0.2649165,0.2989552,0.09065879,0.0009924162,0.3250391],"study_design_scores_gemma":[0.00001001661,0.0002444091,0.003696308,0.000008345984,0.00001837426,0.0004011429,0.00001555163,0.9681574,0.02254526,0.004486092,0.0003954376,0.00002175772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277157,0.0003288121,0.7699223,0.0001196032,0.00002106233,0.00005730652,0.00006145559,0.0003923906,0.001381324],"genre_scores_gemma":[0.8118196,0.0002205885,0.1873366,0.00003023917,0.00002569113,0.00004778794,0.00007767414,0.00008007775,0.0003618136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002971536,"threshold_uncertainty_score":0.01571512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210395507331112,"score_gpt":0.2940163038918147,"score_spread":0.1729767531587035,"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."}}