{"id":"W6902699594","doi":"10.7282/00000356","title":"Basic needs insecurity among Rutgers–New Brunswick students","year":2020,"lang":"en","type":"report","venue":"View","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basic needs; Basic education; Food insecurity; Needs assessment; Poverty","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001114275,0.0006245909,0.001290844,0.0002482396,0.0001185056,0.000466114,0.001853002,0.0004582144,0.002385403],"category_scores_gemma":[0.0005000482,0.0005991803,0.0004004143,0.0007591072,0.0001780923,0.0002038926,0.001250378,0.0006508338,0.001778933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005025144,"about_ca_system_score_gemma":0.00396167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005530955,"about_ca_topic_score_gemma":0.0003139688,"domain_scores_codex":[0.9947266,0.0002032565,0.0009699127,0.0008912735,0.00262358,0.0005853672],"domain_scores_gemma":[0.9973329,0.0001832089,0.0006023447,0.001159456,0.0002665306,0.0004555386],"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":[0.0001442462,0.0009154109,0.1322393,0.01042751,0.000700387,0.001367367,0.003761421,0.00001646967,0.1166944,0.0004394243,0.7128978,0.02039627],"study_design_scores_gemma":[0.000945419,0.0002890717,0.01463079,0.003637112,0.0007837787,0.0002353395,0.00002314466,0.00001236889,0.05121846,0.0004498749,0.9256977,0.002076983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.553126,0.06613911,0.000142447,0.00105282,0.02762053,0.003333929,0.0002161916,0.00162732,0.3467417],"genre_scores_gemma":[0.9434843,0.02436311,0.001120705,0.001445732,0.00698308,0.00008682578,0.0002553927,0.0004329413,0.02182789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903584,"threshold_uncertainty_score":0.9996459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643041411258957,"score_gpt":0.3115029693697284,"score_spread":0.2750725552571388,"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."}}