{"id":"W2096903035","doi":"10.1177/1071181311551102","title":"Communicating Image Content","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Content (measure theory); Computer science; Image (mathematics); Computer vision; Artificial intelligence; Mathematics","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":[0.0004582839,0.0001323773,0.0001695136,0.00001774765,0.0004854846,0.00009764133,0.001068996,0.00006441255,0.000001942631],"category_scores_gemma":[0.00005844705,0.00009287146,0.0001614403,0.0001204737,0.0002312687,0.0005746126,0.0008281802,0.0001920833,4.901196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003391618,"about_ca_system_score_gemma":0.00001208728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109646,"about_ca_topic_score_gemma":7.748328e-7,"domain_scores_codex":[0.9991922,0.000007930054,0.0002995942,0.0002096358,0.0001051496,0.000185515],"domain_scores_gemma":[0.999109,0.00003838594,0.0003788487,0.0001821891,0.0002423174,0.00004930859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002011413,0.0002468026,0.1211677,0.0003071234,0.0001450916,8.877987e-8,0.140963,1.321317e-7,0.4725587,0.2590329,0.00145784,0.00410046],"study_design_scores_gemma":[0.0003062396,0.0001189536,0.1137344,0.000206304,0.00003100117,0.00000433641,0.02080305,0.001605133,0.8546247,0.00749161,0.0006272816,0.0004469737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943125,0.00008431034,0.001526194,0.0001183608,0.00004592821,0.0001369283,0.000004649581,0.0001205615,0.003650586],"genre_scores_gemma":[0.9654115,0.00006330101,0.03433103,0.0000760733,0.0000168251,0.000005235658,3.963592e-7,0.000009125657,0.0000864961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.382066,"threshold_uncertainty_score":0.3787188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810672805539714,"score_gpt":0.2448774249659834,"score_spread":0.1867706969105863,"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."}}