{"id":"W4233977854","doi":"10.1002/nsr.30179","title":"Predict enrollment spikes and declines using state and federal employment data","year":2016,"lang":"en","type":"article","venue":"Recruiting & Retaining Adult Learners","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; State (computer science); Institution; Plan (archaeology); San Joaquin; Political science; Higher education; Public administration; Business; Economics; Finance; Economic growth; Computer science; History; Law","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":[0.001643147,0.0003623791,0.0003578623,0.003204793,0.0007302177,0.001744083,0.0007282961,0.000547811,0.001523656],"category_scores_gemma":[0.007846996,0.0002879364,0.0002764537,0.003696688,0.0002063916,0.0009355899,0.0008865906,0.001013172,0.001263001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004456209,"about_ca_system_score_gemma":0.003262643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8017418,"about_ca_topic_score_gemma":0.8832989,"domain_scores_codex":[0.9994111,0.00006781352,0.00004554018,0.0001136538,0.0002336359,0.0001282825],"domain_scores_gemma":[0.9929705,0.0008451242,0.0006289207,0.000364044,0.00432347,0.0008679445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008152111,0.00006402975,0.9273143,0.00002177373,0.00004358695,0.00003584516,0.0002044874,0.006073445,0.0001390262,0.0003697051,0.02672975,0.03892254],"study_design_scores_gemma":[0.00001457754,0.00003204903,0.8922423,0.00007881867,0.00002634336,0.00001749255,0.001117615,0.0918307,0.0003862631,0.0006420527,0.01358263,0.00002908922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350634,0.0005782458,0.002591824,0.00386624,0.0000813491,0.000106625,0.0430709,0.0005386776,0.0141027],"genre_scores_gemma":[0.9516707,0.000497859,0.002521973,0.0002495467,0.000050779,0.00005312207,0.03897499,0.00006076651,0.0059202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8017418,"threshold_uncertainty_score":0.3988516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275882793131937,"score_gpt":0.4243802392604708,"score_spread":0.2967919599472771,"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."}}