{"id":"W7084115838","doi":"10.64628/aam.ca36vuf95","title":"Want an advanced AI assistant? Prepare for them to be all up in your business","year":2025,"lang":"en","type":"article","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Key (lock); Work (physics); Government (linguistics); Information technology","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":[0.003739733,0.0009242209,0.0006940197,0.001518922,0.008553881,0.01265305,0.001609664,0.004184856,0.2064352],"category_scores_gemma":[0.01768565,0.0007146292,0.0008942841,0.0009017307,0.002220897,0.008357964,0.005859083,0.009709513,0.1861019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185941,"about_ca_system_score_gemma":0.008712351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002354523,"about_ca_topic_score_gemma":0.00574644,"domain_scores_codex":[0.9965274,0.0006128554,0.0001416774,0.0003329797,0.001489482,0.0008955633],"domain_scores_gemma":[0.9299588,0.001469774,0.001409746,0.001264499,0.01027605,0.05562116],"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":[0.00006908081,0.0005219511,0.002646162,0.00009642875,0.00001216363,0.0004323189,0.0009451155,0.0000732456,0.0009724968,0.001277163,0.9407686,0.05218532],"study_design_scores_gemma":[0.00004891868,0.0001588017,0.003394509,0.0001717693,0.00001472586,0.0009270643,0.01232836,0.000286026,0.0004744177,0.005971221,0.976158,0.00006612218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01588135,0.005312406,0.01487345,0.6041052,0.0723213,0.0007673647,0.0007182565,0.005281676,0.280739],"genre_scores_gemma":[0.05340986,0.005243351,0.02656396,0.1863794,0.01254027,0.000604741,0.001009153,0.0009626054,0.7132866],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2064352,"threshold_uncertainty_score":0.6905947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929069371307902,"score_gpt":0.2806052180484116,"score_spread":0.2513145243353326,"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."}}