{"id":"W6926652645","doi":"10.25318/36280001202400900004-eng","title":"Exposure to artificial intelligence in Canadian jobs: Experimental estimates","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Applications of artificial intelligence; Artificial neural network; Occupational exposure; Estimation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004454768,0.0005622566,0.0003664002,0.001323721,0.003202724,0.0008302701,0.001113614,0.0006349751,0.004602225],"category_scores_gemma":[0.01398014,0.0003003949,0.0007902613,0.001765391,0.002430787,0.0006092759,0.001259748,0.0007703321,0.0002362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01392581,"about_ca_system_score_gemma":0.01453064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414948,"about_ca_topic_score_gemma":0.94296,"domain_scores_codex":[0.9947349,0.002032684,0.0001603816,0.0005804267,0.001547501,0.0009441822],"domain_scores_gemma":[0.989017,0.004551821,0.002089713,0.001534149,0.00216832,0.0006390626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002667088,0.002701251,0.9367827,0.0001792495,0.0004759682,0.0001696889,0.003173798,0.006977167,0.002249272,0.006616484,0.003356594,0.03465077],"study_design_scores_gemma":[0.0001510091,0.0007943785,0.986782,0.00002457531,0.0001216302,0.00006219354,0.00266702,0.004284922,0.001052432,0.0008172377,0.003193181,0.00004954063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900444,0.0001970969,0.001899272,0.0001639524,0.000009068617,0.0003617247,0.001977877,0.00001741828,0.005329244],"genre_scores_gemma":[0.9949467,0.0001383107,0.00138638,0.00008536857,0.000007834409,0.0002593084,0.001018428,0.00000316543,0.002154554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05850524,"threshold_uncertainty_score":0.1176995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.38669973070264,"score_gpt":0.6346485695239896,"score_spread":0.2479488388213497,"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."}}