{"id":"W4234621189","doi":"10.1002/0470018860.s00070","title":"Computer Vision","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Cognitive Science","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer graphics (images); Computer science; Computer vision; Artificial intelligence","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":[0.0005777541,0.0008532684,0.000663723,0.002513497,0.0005375353,0.004264655,0.001309435,0.001358643,0.07364018],"category_scores_gemma":[0.003058911,0.0002643253,0.0004503184,0.002672301,0.0007115117,0.00210104,0.001395535,0.001541208,0.06204392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557234,"about_ca_system_score_gemma":0.0007645273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339405,"about_ca_topic_score_gemma":0.001005909,"domain_scores_codex":[0.9988233,0.0001143127,0.00005761174,0.0003156795,0.0006235029,0.00006557655],"domain_scores_gemma":[0.9988226,0.0001800232,0.00005617819,0.0003131247,0.0005513778,0.00007659727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004872945,0.00003890708,0.000455553,0.0005160232,0.00005522255,0.0001631029,0.00004466504,0.003061797,0.005398176,0.06721664,0.2956414,0.6273597],"study_design_scores_gemma":[0.00001646893,0.00003916397,0.0008952107,0.0002394617,0.00002834523,0.0006717407,0.00005985829,0.01672629,0.004503003,0.1119789,0.8648118,0.00002981541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005498326,0.06549303,0.4173479,0.009296756,0.00679361,0.0003888941,0.00508635,0.009288316,0.4808068],"genre_scores_gemma":[0.2170299,0.0728476,0.2391793,0.00586447,0.006630599,0.0005084131,0.02377392,0.001541807,0.432624],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07364018,"threshold_uncertainty_score":0.2463509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008480010377533582,"score_gpt":0.2819929510635545,"score_spread":0.2735129406860209,"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."}}