{"id":"W4413543380","doi":"10.64628/aam.u3smt34gx","title":"Apple Intelligence will help AI become as commonplace as word processing","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":"Thompson Rivers University","funders":"","keywords":"Computer science; Word (group theory); Natural language processing; Artificial intelligence; Linguistics; Philosophy","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":[0.004873198,0.0008062531,0.0006771616,0.001967309,0.002129775,0.01237537,0.001110124,0.004782749,0.06884901],"category_scores_gemma":[0.01174284,0.0003544445,0.0007986127,0.001295194,0.003095728,0.02003942,0.002830501,0.004112239,0.03276717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947716,"about_ca_system_score_gemma":0.002465231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0037658,"about_ca_topic_score_gemma":0.006550473,"domain_scores_codex":[0.9976519,0.0006542684,0.0001349451,0.0003145947,0.0009381589,0.0003062124],"domain_scores_gemma":[0.9895127,0.003018482,0.0003465573,0.001031096,0.003722878,0.002368206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002152356,0.000329506,0.002552963,0.0002126666,0.00004236959,0.0001568712,0.001499015,0.0004182108,0.0055327,0.3167727,0.3633512,0.3089165],"study_design_scores_gemma":[0.0000477664,0.00009530198,0.001696323,0.0001156381,0.00003724318,0.0002553424,0.001160693,0.002806939,0.002469548,0.1923279,0.7989304,0.00005686157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.015237,0.005118826,0.09095166,0.1919712,0.01120996,0.0001614716,0.0006408722,0.007656456,0.6770526],"genre_scores_gemma":[0.2394092,0.006813833,0.2105712,0.05526446,0.007447758,0.0002467814,0.001982899,0.003348554,0.4749153],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06884901,"threshold_uncertainty_score":0.2303229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193453247741743,"score_gpt":0.3243022634326345,"score_spread":0.3049569386584602,"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."}}