{"id":"W7098280828","doi":"","title":"Welfare to Work: The Next Generation A National Forum","year":2003,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Welfare; Corporation; Incentive; Work (physics); Welfare reform; Public assistance; Test (biology)","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":[0.006501204,0.0002510326,0.0002824275,0.0008248267,0.008795323,0.005767348,0.001626243,0.005555476,0.04807693],"category_scores_gemma":[0.00512581,0.0001834957,0.0004320992,0.0006699653,0.002071982,0.005327754,0.01005189,0.002924188,0.003053836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003426551,"about_ca_system_score_gemma":0.0187769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617325,"about_ca_topic_score_gemma":0.05852296,"domain_scores_codex":[0.9961014,0.001550076,0.00006163682,0.0001634546,0.0005005347,0.001622994],"domain_scores_gemma":[0.9943357,0.0005984373,0.000181684,0.0002467462,0.0006955082,0.003941856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003134281,0.001589264,0.04278807,0.0002835325,0.00002130474,0.0008191064,0.02064816,0.0001428701,0.0008830536,0.09864721,0.4022799,0.4315842],"study_design_scores_gemma":[0.00005532025,0.0002978406,0.02479742,0.0004723688,0.00001827875,0.0002875916,0.08147056,0.0001728996,0.0001825345,0.0125704,0.8796372,0.00003764994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1182749,0.006088172,0.002464622,0.5964851,0.006597443,0.0003293408,0.0006566215,0.0001399338,0.268964],"genre_scores_gemma":[0.7220951,0.00525728,0.005848801,0.102995,0.001817336,0.001116114,0.0008677531,0.0000898785,0.1599128],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04807693,"threshold_uncertainty_score":0.1608334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09429825010591353,"score_gpt":0.2397775478004089,"score_spread":0.1454792976944953,"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."}}