{"id":"W1538636281","doi":"","title":"Producing informative text alternatives for images","year":2012,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Information retrieval; Computer science; Closed captioning; Search engine indexing; Image (mathematics); Representation (politics); Web page; Information needs; World Wide Web; 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":[0.003593804,0.0008139865,0.0003947799,0.001865294,0.001079305,0.002002968,0.001147029,0.001372465,0.02548228],"category_scores_gemma":[0.02421435,0.0003446744,0.0008352848,0.0008527971,0.001496,0.0041122,0.0024769,0.001225823,0.00655282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006141324,"about_ca_system_score_gemma":0.0007702422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003746238,"about_ca_topic_score_gemma":0.0009020619,"domain_scores_codex":[0.9972844,0.0011285,0.0002696908,0.0002793093,0.0008909481,0.0001472229],"domain_scores_gemma":[0.9853178,0.009288496,0.001130107,0.001464717,0.002397317,0.0004016001],"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":[0.001380194,0.0008676952,0.00370321,0.003057749,0.00003667948,0.002504542,0.02627078,0.001684614,0.1040855,0.0876797,0.0444542,0.7242752],"study_design_scores_gemma":[0.0003602926,0.003334775,0.01708132,0.002610322,0.0002315724,0.004153694,0.03248803,0.0149831,0.2010747,0.08094506,0.6422015,0.0005355939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2688152,0.001504467,0.5662184,0.003890162,0.001066946,0.006142831,0.00141376,0.006003927,0.1449443],"genre_scores_gemma":[0.2486647,0.0007895808,0.7180559,0.0008112921,0.0001309157,0.001703942,0.000752988,0.0008541264,0.02823654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02548228,"threshold_uncertainty_score":0.08524668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165205133194876,"score_gpt":0.1822766426459156,"score_spread":0.165756129326428,"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."}}