{"id":"W4404478766","doi":"10.1145/3678698.3687210","title":"Invisibles: Collection of Artificial Intelligence Generated Shorts","year":2024,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; 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":[0.0001320998,0.00007413123,0.00008012812,0.0002178082,0.0000549626,0.000163618,0.0003299803,0.00004365354,0.0002472579],"category_scores_gemma":[0.00001906203,0.00006602116,0.00004639434,0.001395348,0.00002381612,0.0005002882,0.0001037918,0.0001018084,0.0001952858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682566,"about_ca_system_score_gemma":0.0001017517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001621785,"about_ca_topic_score_gemma":0.000244499,"domain_scores_codex":[0.999171,0.00002929044,0.0002691541,0.000252699,0.000161086,0.0001167472],"domain_scores_gemma":[0.9994397,0.0001032862,0.00002649728,0.0002746998,0.0001185323,0.00003731971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007419983,0.0001407259,0.000112171,0.00007177397,0.00006997376,0.00003346384,0.002909129,0.003893681,0.03884639,0.7258778,0.01123553,0.2168019],"study_design_scores_gemma":[0.000004362254,0.00005038746,0.00005927945,0.00003594325,0.00000449106,0.00002384284,0.0001124772,0.8337988,0.1496306,0.01398213,0.002214254,0.0000834936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01577094,0.00008768249,0.9746774,0.001075858,0.001521501,0.00008321041,9.984191e-7,0.0003273444,0.006455024],"genre_scores_gemma":[0.9543988,0.00002192896,0.04419852,0.0001709466,0.00008712492,0.00001221702,0.00000180417,0.000007103047,0.001101627],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9386278,"threshold_uncertainty_score":0.2707301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304476352373927,"score_gpt":0.3105347056142868,"score_spread":0.2674899420905476,"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."}}