{"id":"W2189223122","doi":"","title":"OBJECT-BASED MOVING VEHICLE EXTRACTION FROM WORLDVIEW2 IMAGERY","year":2012,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Remote sensing; Feature extraction; Object detection; Extraction (chemistry); Satellite; Geography; Pattern recognition (psychology); 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":[0.0003816301,0.0005693826,0.0004463666,0.002353936,0.0001841979,0.0007261584,0.0004803259,0.0005544542,0.001361006],"category_scores_gemma":[0.0005334851,0.0002218198,0.0004752006,0.001007765,0.0001416593,0.000794774,0.000378344,0.0001533698,0.001135493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086401,"about_ca_system_score_gemma":0.0002137075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002794993,"about_ca_topic_score_gemma":0.005045956,"domain_scores_codex":[0.999762,0.00002443194,0.00001208817,0.00005803824,0.0000859179,0.00005761278],"domain_scores_gemma":[0.9998234,0.00003305315,0.00002357265,0.0000247167,0.00008446272,0.00001073615],"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":[0.0006093524,0.0002031574,0.02157891,0.0003172712,0.0002563332,0.0002385968,0.0001017728,0.01712326,0.2935131,0.0006457051,0.001975342,0.6634372],"study_design_scores_gemma":[0.00004908358,0.0003290588,0.1512016,0.00003231643,0.0001785354,0.0007599342,0.0002986717,0.3707845,0.4655893,0.0006229621,0.01006518,0.00008879026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6246188,0.0009058318,0.363932,0.00006040182,0.0001066625,0.0002277867,0.001340481,0.002896683,0.005911425],"genre_scores_gemma":[0.7117503,0.0004328087,0.2796723,0.0000338661,0.00002349383,0.00007272238,0.004855715,0.0001844974,0.002974336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002794993,"threshold_uncertainty_score":0.005557418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817543215627145,"score_gpt":0.2394291814509872,"score_spread":0.2212537492947157,"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."}}