{"id":"W4404554009","doi":"10.1145/3687272.3690902","title":"Capabilities and Constraints: Modelling what Human and AI Agents Can and Can't Change","year":2024,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Universitas Brawijaya","keywords":"Computer science","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":[0.003303576,0.0008830606,0.0004217524,0.001386057,0.001703386,0.005171339,0.001988063,0.002665889,0.00741079],"category_scores_gemma":[0.01611198,0.0007615892,0.001250376,0.00120068,0.00567873,0.01125372,0.003542098,0.002405753,0.000806585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002190807,"about_ca_system_score_gemma":0.003863689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0215616,"about_ca_topic_score_gemma":0.01704197,"domain_scores_codex":[0.99715,0.001519968,0.0001913974,0.0003998772,0.0004697617,0.0002689838],"domain_scores_gemma":[0.9909613,0.006067676,0.000723689,0.001042626,0.0005643031,0.000640452],"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":[0.00007840562,0.00005184509,0.002557464,0.0001699862,0.00003279523,0.000285129,0.005931861,0.06985889,0.0006091158,0.9007478,0.001475021,0.01820173],"study_design_scores_gemma":[0.00004603974,0.00005681999,0.001108196,0.0001934375,0.00004759596,0.0001983262,0.00257786,0.2116493,0.001213606,0.7211666,0.06168439,0.00005774533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05580224,0.0007324912,0.7966241,0.006641358,0.0001313716,0.0003691317,0.0009029226,0.0004584132,0.138338],"genre_scores_gemma":[0.6628765,0.0007309993,0.3218054,0.0003370965,0.00007061775,0.0008459052,0.0005638262,0.000212702,0.01255694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0215616,"threshold_uncertainty_score":0.04287219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14947022692356,"score_gpt":0.3964755109144014,"score_spread":0.2470052839908414,"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."}}