{"id":"W6910610603","doi":"10.48573/atn2-pe92","title":"Prekäre Lebenslagen. Subjektive Bewertungen und Handlungsstrategien in Haushalten mit knappen finanziellen Ressourcen - 2003","year":2025,"lang":"de","type":"dataset","venue":"Swissubase FORS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Panel data; Unemployment; Quarter (Canadian coin); Nexus (standard); Work (physics)","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":[0.0009973262,0.002373234,0.001245038,0.004536371,0.0008096826,0.001953351,0.002095678,0.002001966,0.03411709],"category_scores_gemma":[0.005335557,0.0006667115,0.001972087,0.00681336,0.0003433795,0.0009143976,0.001707807,0.001635182,0.04379888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276125,"about_ca_system_score_gemma":0.002880481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349219,"about_ca_topic_score_gemma":0.2270721,"domain_scores_codex":[0.9991032,0.0001419768,0.0001468274,0.0001954254,0.0002160126,0.0001965679],"domain_scores_gemma":[0.997236,0.0006997926,0.0004923142,0.0004359462,0.0007890665,0.0003468937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003282543,0.00006607793,0.006844616,0.001026144,0.00009870261,0.00005614929,0.00008143778,0.0004536408,0.0001720807,0.0003388285,0.9861636,0.004370429],"study_design_scores_gemma":[0.0007328087,0.00009756392,0.131304,0.001121767,0.0001917309,0.0001961749,0.0006341296,0.00110048,0.0009261375,0.001006943,0.8625776,0.0001106693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004062036,0.00006517782,0.00001620992,0.00003640981,0.00001076875,0.000005717198,0.99913,0.0000530219,0.0002765606],"genre_scores_gemma":[0.0008573679,0.00005805373,0.00007645296,0.00001885901,0.000004888425,0.000064321,0.9980348,0.00001362487,0.0008715159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1349219,"threshold_uncertainty_score":0.2682731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642562274168898,"score_gpt":0.3001197728659183,"score_spread":0.2836941501242294,"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."}}