{"id":"W4385434321","doi":"10.1007/978-1-4842-9579-3_12","title":"Use Cases","year":2023,"lang":"en","type":"book-chapter","venue":"Design Thinking","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generative grammar; Computer science; Workflow; Point (geometry); Process (computing); Artificial intelligence; Generative model; Human–computer interaction; Programming language; Database","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007524111,0.0003743266,0.0003419913,0.0003532483,0.0003440726,0.0008821057,0.001695477,0.0003154641,0.00007085723],"category_scores_gemma":[0.000372458,0.0003864896,0.0001615808,0.0001464778,0.00007247591,0.0008613841,0.0005898746,0.0004779839,0.003691775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250965,"about_ca_system_score_gemma":0.0001603562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001156223,"about_ca_topic_score_gemma":0.0000401231,"domain_scores_codex":[0.997686,0.00006074392,0.0004091506,0.0007422745,0.0006399869,0.0004618103],"domain_scores_gemma":[0.9964172,0.001960233,0.0002364213,0.001106737,0.0001663765,0.0001130178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003614936,0.000005066383,0.000001754637,0.00001409913,0.00003495002,0.001977312,0.0008444862,0.0003515353,0.00005699991,0.9781513,0.005591787,0.01296712],"study_design_scores_gemma":[0.0000303589,0.0001213182,0.00000332115,0.0004278446,0.00002883919,0.0001249333,0.00001883399,0.009523381,0.002869684,0.9218718,0.06422303,0.0007565932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000005882745,0.0002052214,0.9056106,0.0003348382,0.001462716,0.0004416265,0.000005879289,0.001532356,0.0904009],"genre_scores_gemma":[0.001677106,0.0002447377,0.09299194,0.001062077,0.0004297015,0.0000264403,0.00001288989,0.0001758009,0.9033793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8129784,"threshold_uncertainty_score":0.9998587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2328728455914616,"score_gpt":0.2910375391046953,"score_spread":0.0581646935132337,"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."}}