{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004488,0.0002369559,0.0002871898,0.000654767,0.00008269469,0.00009620249,0.001802036,0.0001333169,0.000558322],"category_scores_gemma":[0.0001399238,0.00020527,0.00008313164,0.001298031,0.0009619065,0.0005089619,0.0005019781,0.0001842582,0.0003046727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003524564,"about_ca_system_score_gemma":0.0003810383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392468,"about_ca_topic_score_gemma":0.00000347356,"domain_scores_codex":[0.9977583,0.0000456037,0.0002865574,0.0007133314,0.000869441,0.0003267312],"domain_scores_gemma":[0.9985223,0.0001168405,0.0003804821,0.0005241394,0.0003266342,0.0001295912],"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":[0.000003458126,0.0001407401,0.00002448636,0.00003732147,0.000009779966,0.000007951802,0.000189914,5.722339e-8,0.0003686208,0.01262578,0.05899075,0.9276012],"study_design_scores_gemma":[0.0002820487,0.0003262749,0.001713278,0.0008466113,0.00001502415,0.00001437482,0.00001609103,0.001233548,0.01162568,0.000757961,0.9825632,0.0006058919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002477127,0.0002288293,0.4211569,0.00008575459,0.0003133546,0.0001904158,0.00001061843,0.0002765232,0.5777351],"genre_scores_gemma":[0.003807253,0.001780276,0.1418505,0.000291371,0.0007008488,0.00002788553,0.000008919078,0.0001215327,0.8514115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9269952,"threshold_uncertainty_score":0.8370667,"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."}}