{"id":"W3016082095","doi":"","title":"Green Function and Electromagnetic Potential for Computer Vision and Convolutional Neural Network Applications","year":2019,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Physics; Artificial intelligence; Computer science; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005698976,0.000582537,0.0004036281,0.0009424768,0.0002853941,0.00102928,0.0006059264,0.001010722,0.004622472],"category_scores_gemma":[0.002023123,0.0002337889,0.0005968744,0.001260657,0.0008036106,0.001217992,0.0006990516,0.001042374,0.001096142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474564,"about_ca_system_score_gemma":0.0007867144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003120482,"about_ca_topic_score_gemma":0.002009231,"domain_scores_codex":[0.9997752,0.00005937021,0.00001099634,0.00003144936,0.00009197825,0.00003100838],"domain_scores_gemma":[0.999443,0.0002839848,0.00004725164,0.0000419887,0.0001538857,0.00002983843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008721823,0.00004805847,0.0008202214,0.0005062419,0.0000484318,0.0002388402,0.00007204805,0.2758181,0.01017651,0.5334627,0.01237818,0.1663434],"study_design_scores_gemma":[0.00000618365,0.00002149933,0.0006390765,0.0000645228,0.000009258782,0.0001301151,0.00002344934,0.7978393,0.001860413,0.1820385,0.01734648,0.00002119631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02044358,0.01881057,0.9226354,0.003234239,0.0005875119,0.00005431543,0.0003092335,0.0006702821,0.03325486],"genre_scores_gemma":[0.7120616,0.02124486,0.2103043,0.0007357252,0.0006190927,0.0001824451,0.0007211623,0.0004144766,0.05371641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004622472,"threshold_uncertainty_score":0.01546365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007027458882401454,"score_gpt":0.2117071729415167,"score_spread":0.2046797140591153,"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."}}