{"id":"W6907837202","doi":"10.25318/3310087901-eng","title":"Reasons business or organization does not plan to use artificial intelligence (AI) in producing goods or delivering services over the next 12 months, third quarter of 2024","year":2024,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Plan (archaeology); Goods and services; Business plan","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000140444,0.0003093628,0.0002831117,0.0001708894,0.00007217919,0.0002141812,0.0003325508,0.0001167149,0.0002229866],"category_scores_gemma":[0.0002911335,0.0002129699,0.00001094122,0.0008156727,0.00002180195,0.000283994,0.00005342281,0.0002904199,0.000007490776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836507,"about_ca_system_score_gemma":0.000234335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07049175,"about_ca_topic_score_gemma":0.8343466,"domain_scores_codex":[0.9983077,0.00003235831,0.0005845052,0.0003675427,0.00044852,0.0002593739],"domain_scores_gemma":[0.998849,0.0003476527,0.0001394127,0.0003912684,0.0002105725,0.00006207146],"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":[0.00003243059,0.00002294917,0.00004815997,0.002294651,0.00005847286,0.00006310566,0.0008670456,0.007055069,0.001033566,0.0001113108,0.9851026,0.00331064],"study_design_scores_gemma":[0.0004933074,0.0004471836,0.04994935,0.0250446,0.002394597,0.00008362794,0.02829019,0.09586797,0.02760784,0.001643527,0.7609013,0.007276463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004363823,0.00006588054,0.0107744,0.00005544457,0.002271459,0.0006023323,0.9818265,0.00003643887,0.000003703048],"genre_scores_gemma":[0.09102517,0.0005072415,0.001080387,0.000182276,0.0002834715,0.00009056772,0.9064749,0.0001213789,0.0002345348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7638549,"threshold_uncertainty_score":0.9356979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040454217610054,"score_gpt":0.2658397177564096,"score_spread":0.245435175580309,"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."}}