{"id":"W2799652303","doi":"10.1145/3203247.3203251","title":"Artificial intelligence in 2027","year":2018,"lang":"en","type":"article","venue":"AI Matters","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Bar-Ilan University","keywords":"Pace; Sight; Computer science; Artificial intelligence; Geography; Astronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001539737,0.00005391952,0.00005560714,0.00008553881,0.00003514476,0.00008003305,0.0004507,0.0000256545,0.00007146919],"category_scores_gemma":[0.000009728175,0.00005004734,0.00001892993,0.0003784653,0.00007815575,0.0002530675,0.00008124087,0.00006682995,0.0006690593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002438767,"about_ca_system_score_gemma":0.00001911505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002540318,"about_ca_topic_score_gemma":0.000008075162,"domain_scores_codex":[0.9994019,0.00002272561,0.0001473268,0.0001815578,0.0001054494,0.0001409868],"domain_scores_gemma":[0.9996205,0.00001969369,0.00002860603,0.0002633561,0.00004001994,0.00002781285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007601046,0.00007269776,0.0001699589,0.000008858791,0.000003560125,0.00001253441,0.0008290436,6.454899e-7,0.01709685,0.2298443,0.0306418,0.7213122],"study_design_scores_gemma":[0.00002854986,0.0001307153,0.001692097,0.00003563896,0.000001714463,0.0000112326,0.00006381827,0.03409608,0.7578338,0.1447795,0.0610273,0.0002995782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003562056,0.000007108308,0.935273,0.06347474,0.0001648218,0.00005622179,2.83653e-7,0.0001270798,0.0005405304],"genre_scores_gemma":[0.9181594,0.000007688556,0.0303847,0.05101074,0.0001056747,0.00001461929,7.978317e-7,0.000006644113,0.0003097281],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9178032,"threshold_uncertainty_score":0.8599626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517818157257489,"score_gpt":0.2974055739218653,"score_spread":0.2722273923492904,"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."}}