{"id":"W2007045316","doi":"10.1145/2630729.2630735","title":"Massachusetts Economy and Technology Index System","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development; Ministry of Economy, Trade and Industry; National Science Foundation","keywords":"Metis; Big data; Fidelity; Index (typography); Census; Data science; Key (lock); Computer science; Knowledge management; Business; World Wide Web; Telecommunications; Data mining; Sociology; Computer security","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":[0.0001332142,0.00007269634,0.0001190277,0.00009723348,0.00006859141,0.00003323691,0.0001873155,0.00004606827,0.00000244135],"category_scores_gemma":[0.0000119434,0.00005805295,0.000008738023,0.0001439573,0.00004152988,0.0003837342,0.0002208267,0.00004923372,0.00004032408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001374632,"about_ca_system_score_gemma":0.00001115477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000157963,"about_ca_topic_score_gemma":0.00001292023,"domain_scores_codex":[0.9994426,0.00001773805,0.0001196704,0.0002392975,0.00003984058,0.0001408382],"domain_scores_gemma":[0.9994203,0.00002682612,0.00004202393,0.0004348244,0.00003051239,0.00004549707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.579575e-7,0.000001846582,0.002000986,0.00002174212,0.000002576808,0.000001660914,0.00001200621,0.00000308302,0.000043766,0.987698,0.0002831177,0.009931015],"study_design_scores_gemma":[0.0003243868,0.00005884861,0.0003885109,0.0000395099,0.00000176813,0.0001538852,0.0002031342,0.09150633,0.001147137,0.006196917,0.8997397,0.0002398138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00156868,0.0000555623,0.9672629,0.0008775166,0.0001040831,0.00006584874,9.688779e-7,0.0003704164,0.02969398],"genre_scores_gemma":[0.9283527,0.000001403545,0.07103429,0.0001142956,0.00003468298,0.00001626595,7.407826e-7,0.000004077659,0.0004415899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.981501,"threshold_uncertainty_score":0.2367331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004610163935724667,"score_gpt":0.1948370878415103,"score_spread":0.1902269239057856,"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."}}