{"id":"W3217110397","doi":"10.18280/ts.380527","title":"Simple, Flexible Method to Extract Digital Image Features","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Process (computing); Image (mathematics); Feature extraction; Identifier; Pattern recognition (psychology); Simple (philosophy); Digital image; Computer vision; Feature (linguistics); Extraction (chemistry); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003412096,0.0006720838,0.0005076298,0.001863431,0.0002904132,0.0006794863,0.0007400393,0.0007015687,0.006747197],"category_scores_gemma":[0.001078071,0.0003515747,0.0004950098,0.001101585,0.0003822582,0.00129133,0.0008199723,0.0008261607,0.00365578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931826,"about_ca_system_score_gemma":0.0003050265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630049,"about_ca_topic_score_gemma":0.0007090812,"domain_scores_codex":[0.9995497,0.00002821898,0.00003034409,0.00009857098,0.0002650029,0.00002810867],"domain_scores_gemma":[0.9995996,0.00008674125,0.00003909727,0.0001017491,0.0001531568,0.00001965121],"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":[0.00009739561,0.00005339925,0.0004927001,0.000345311,0.00003494638,0.0002227971,0.00008051005,0.001930445,0.2936905,0.004888324,0.005950559,0.6922131],"study_design_scores_gemma":[0.0001082847,0.0004314071,0.007973695,0.0001694509,0.0001360871,0.004290084,0.0001842803,0.1561988,0.6320388,0.01482399,0.1834007,0.0002444511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005109871,0.0005394704,0.9896917,0.00008897905,0.000133617,0.0001853362,0.0002071362,0.001369714,0.002674181],"genre_scores_gemma":[0.06669823,0.0006818843,0.9226798,0.0001383886,0.0001172593,0.0003304406,0.0005840029,0.0002030578,0.00856684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006747197,"threshold_uncertainty_score":0.02257156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803203543557682,"score_gpt":0.2972402134695661,"score_spread":0.2792081780339893,"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."}}