{"id":"W4385434358","doi":"10.1007/978-1-4842-9579-3_11","title":"Dilemmas Interacting with Generative AI","year":2023,"lang":"en","type":"book-chapter","venue":"Design Thinking","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generative grammar; Cheating; Generative model; Computer science; Artificial intelligence; Cognitive science; Engineering ethics; Psychology; Social psychology; Engineering","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002340355,0.0003036261,0.000382827,0.0001518077,0.00177496,0.0008188919,0.0004366806,0.0006142585,0.0002392047],"category_scores_gemma":[0.0007860923,0.0002742402,0.000127693,0.00008472471,0.0003538193,0.0004735912,0.0000970187,0.001423099,0.000221833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251279,"about_ca_system_score_gemma":0.0007350954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018679,"about_ca_topic_score_gemma":0.002468769,"domain_scores_codex":[0.9977166,0.0001932277,0.00026909,0.0003912383,0.0009785137,0.0004513206],"domain_scores_gemma":[0.9972548,0.001573531,0.0003389719,0.0002030407,0.0004680221,0.0001616664],"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":[0.00001616236,0.000004546117,0.000005046901,0.00001157938,0.0001401004,0.0001182092,0.0731167,0.00005163396,0.00001051813,0.9193556,0.005040348,0.002129525],"study_design_scores_gemma":[0.0001522918,0.0001334611,0.000003734945,0.001184311,0.00009995604,0.000001983784,0.002535946,0.00005616287,0.00003903189,0.8629305,0.1322102,0.0006524261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001238505,0.00009373306,0.01050804,0.008160097,0.001095006,0.0004870043,0.000009699591,0.0004083866,0.9792256],"genre_scores_gemma":[0.008660369,0.0004862104,0.006583381,0.004005466,0.002622322,0.00001681536,0.00002809462,0.0002121043,0.9773852],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1271698,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408162117761458,"score_gpt":0.3641089241837836,"score_spread":0.2232927124076378,"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."}}