{"id":"W3203427563","doi":"10.1109/icdmw53433.2021.00085","title":"Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Data Mining Workshops (ICDMW)","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Becton Dickinson (Canada)","funders":"","keywords":"Computer science; Code (set theory); Task (project management); Variety (cybernetics); Quality (philosophy); Natural language processing; Machine learning; Artificial intelligence; Programming language; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008757118,0.0002136661,0.0002464025,0.0002465698,0.0005906501,0.0007547254,0.00114397,0.0002053231,0.008497138],"category_scores_gemma":[0.002509302,0.000257495,0.00006827353,0.0005895389,0.000351401,0.001338248,0.0002696857,0.0003886335,0.0002293209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603278,"about_ca_system_score_gemma":0.001239477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228606,"about_ca_topic_score_gemma":0.05669921,"domain_scores_codex":[0.9966445,0.0004178977,0.0006865261,0.0008446815,0.001039477,0.0003669003],"domain_scores_gemma":[0.9971992,0.0008145564,0.0002560047,0.0007347053,0.0008547344,0.0001408482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002508867,0.0004217905,0.1545988,0.000006730173,0.0001539712,0.0001219497,0.01471804,0.0004298388,0.004389901,0.6442839,0.01076803,0.1698561],"study_design_scores_gemma":[0.001510942,0.000187555,0.1976132,0.003080504,0.0002008187,0.00001802501,0.2153324,0.3535124,0.002737569,0.03936851,0.1838487,0.002589416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7273029,0.0001704451,0.0824304,0.02929358,0.005872314,0.0006724732,0.006036765,0.00025213,0.147969],"genre_scores_gemma":[0.978192,0.0004218781,0.01267573,0.0002997789,0.0007270083,0.00007000299,0.006057588,0.00002057477,0.00153548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6049154,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3150605083302441,"score_gpt":0.4360140101417311,"score_spread":0.1209535018114871,"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."}}