{"id":"W1578343492","doi":"","title":"A Companion Guide to Analyzing and Projecting Occupational Trends","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Geography; Data science","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":[0.002090103,0.001541381,0.001168406,0.003735436,0.001028534,0.003184039,0.002340111,0.001680966,0.2278733],"category_scores_gemma":[0.01317576,0.00158118,0.001327566,0.005559412,0.0004561404,0.002521277,0.001679972,0.00189862,0.1640771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250488,"about_ca_system_score_gemma":0.004396029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04055295,"about_ca_topic_score_gemma":0.07240221,"domain_scores_codex":[0.9988111,0.0002764201,0.0001955698,0.0001427479,0.0005279917,0.00004611384],"domain_scores_gemma":[0.9931006,0.00287617,0.0001972057,0.0009032401,0.002730886,0.0001918469],"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":[0.00001748238,0.00004422592,0.0003908219,0.000304862,0.00001445238,0.00008208345,0.0002348081,0.002211914,0.0005094357,0.008646465,0.8261767,0.1613668],"study_design_scores_gemma":[0.00001255146,0.00001367187,0.0005890664,0.000136518,0.000004167184,0.0001072176,0.0001265706,0.002421924,0.0002626727,0.008230129,0.9880702,0.00002536199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001884297,0.003183801,0.5918224,0.004296226,0.002054912,0.001740753,0.2239992,0.03694906,0.1340693],"genre_scores_gemma":[0.004794713,0.00367994,0.6883805,0.001195061,0.0003568846,0.002121869,0.08472187,0.00795823,0.2067909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2278733,"threshold_uncertainty_score":0.7623121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0690693564945015,"score_gpt":0.4294686986029949,"score_spread":0.3603993421084934,"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."}}