{"id":"W2144738839","doi":"10.4304/jnw.9.2.501-506","title":"An Image Fusion Method Based on NSCT and Dual-channel PCNN Model","year":2014,"lang":"en","type":"article","venue":"Journal of Networks","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Dual (grammatical number); Artificial intelligence; Computer vision; Image (mathematics); Image fusion; Fusion; Channel (broadcasting); Pattern recognition (psychology); Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006288678,0.0001510272,0.0002443141,0.0001422841,0.00005068379,0.00003770283,0.0001045711,0.0001010094,0.00001489977],"category_scores_gemma":[0.00004441376,0.0001279016,0.00006516112,0.0000884266,0.00001951855,0.0002807548,0.00002030503,0.0004254551,8.546017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482655,"about_ca_system_score_gemma":0.000007279312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.338165e-7,"about_ca_topic_score_gemma":6.365362e-7,"domain_scores_codex":[0.9991529,0.00007271434,0.0003036057,0.0001062304,0.0001798661,0.0001847093],"domain_scores_gemma":[0.9993161,0.0001271257,0.0001219061,0.0001996849,0.00008917618,0.0001459868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003422496,0.00002093129,0.000003803543,0.000009594823,0.000004979394,0.00001300596,0.00002693489,0.943758,0.01422442,0.00002104793,0.002339558,0.03954357],"study_design_scores_gemma":[0.0003405666,0.0002557845,0.00007748488,0.00009579258,0.00001471277,0.00004181374,0.000007799383,0.9928647,0.003866089,0.001938775,0.0003607837,0.0001356758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006040855,0.0001296614,0.9925508,0.00007424952,0.0001571907,0.00006199931,0.000001185652,0.0001235834,0.0008604897],"genre_scores_gemma":[0.607121,0.0001641829,0.3920949,0.0002434732,0.0003151608,0.000001871505,0.000001286175,0.00004195822,0.00001612831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6010801,"threshold_uncertainty_score":0.5215678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007480037986895567,"score_gpt":0.2663255588074575,"score_spread":0.2588455208205619,"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."}}