{"id":"W7135422626","doi":"10.66241/i5yoq","title":"The Coming Enshittification of AI","year":2024,"lang":"en","type":"article","venue":"The Journal of Business and Artificial Intelligence","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"The Internet; Set (abstract data type); Key (lock); Pipeline (software)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01001487,0.0003122917,0.0004108208,0.001084435,0.006038011,0.009575345,0.0007941259,0.004419295,0.005041253],"category_scores_gemma":[0.02476416,0.0002379808,0.0003446934,0.0008794433,0.05020669,0.01635488,0.006328727,0.01013233,0.001237393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004191293,"about_ca_system_score_gemma":0.004741334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864627,"about_ca_topic_score_gemma":0.002846865,"domain_scores_codex":[0.9869459,0.007772904,0.0002867965,0.0007481909,0.00313904,0.001107168],"domain_scores_gemma":[0.9824837,0.009889049,0.001105695,0.001697679,0.002889358,0.001934497],"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":[0.00001945036,0.000008868795,0.0002808386,0.00002292233,0.000003209679,0.00005484922,0.003132067,0.00007572427,0.00009178081,0.9762866,0.01000685,0.0100169],"study_design_scores_gemma":[0.000007818636,0.00002002187,0.0004346729,0.00008230509,0.000002908797,0.0001842679,0.005068632,0.0002344927,0.0001568167,0.7488372,0.2449523,0.00001847431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02541753,0.01414185,0.01934143,0.5196808,0.00445945,0.00002959623,0.00006733691,0.0001075245,0.4167545],"genre_scores_gemma":[0.8851287,0.008886767,0.004045566,0.05926111,0.00511306,0.00009177848,0.00003542941,0.0001368854,0.03730068],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.993962,"threshold_uncertainty_score":0.05296427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038656795767877,"score_gpt":0.3981420059546361,"score_spread":0.2942763263778483,"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."}}