{"id":"W6959567203","doi":"10.11587/jwf7ca","title":"Mikrocensus 1990, 1. quarter: Extended Housing Survey, Knowledge of Foreign Languages","year":2020,"lang":"en","type":"dataset","venue":"AUSSDA - The Austrian Social Science Data Archive","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign language; Block (permutation group theory); Quarter (Canadian coin); Immigration","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":[0.001691554,0.001859343,0.001397427,0.003334206,0.0008407756,0.002796117,0.002615475,0.001945703,0.04083259],"category_scores_gemma":[0.007873022,0.0008919167,0.0009298416,0.007227565,0.0004295877,0.001323272,0.001944655,0.001993306,0.05482383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900659,"about_ca_system_score_gemma":0.002989291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0581432,"about_ca_topic_score_gemma":0.08535238,"domain_scores_codex":[0.9985533,0.0002724354,0.0002452273,0.0003703025,0.0003139923,0.0002446673],"domain_scores_gemma":[0.9970331,0.0005526901,0.0005546052,0.0005767726,0.0008846977,0.0003981492],"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":[0.00007192784,0.00002696939,0.002233166,0.0003694351,0.00003029961,0.00002111505,0.00003435845,0.0001553861,0.00004568607,0.0003259777,0.9956316,0.001054237],"study_design_scores_gemma":[0.0007354761,0.00004485466,0.03636858,0.0003938885,0.00006177635,0.00009784564,0.000303769,0.000608569,0.0003990402,0.001140104,0.9597923,0.00005377963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002025697,0.00002402208,0.00002808937,0.00004101539,0.00001553297,0.00000952895,0.9993597,0.00005939004,0.0002601795],"genre_scores_gemma":[0.0004337746,0.00001905186,0.0001109826,0.00002681733,0.000007079983,0.00007700771,0.9988623,0.00002270065,0.0004402391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0581432,"threshold_uncertainty_score":0.1365986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07537334062950062,"score_gpt":0.3714417471879805,"score_spread":0.2960684065584798,"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."}}