{"id":"W6922249915","doi":"10.11587/qjsqye","title":"Mikrocensus 1993, 2. quarter: Equipment of Households","year":2020,"lang":"en","type":"dataset","venue":"AUSSDA - The Austrian Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backup; Spare part; Population; Field survey; Standard of living; Survey data collection; Survey methodology; Quarter (Canadian coin)","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":[0.000763869,0.001613425,0.00121523,0.004281655,0.0006158515,0.002507376,0.0019963,0.001255553,0.04805047],"category_scores_gemma":[0.005059252,0.0008631106,0.0008901946,0.01041187,0.0002367763,0.001184974,0.001440815,0.001475352,0.05667466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778776,"about_ca_system_score_gemma":0.001900973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08025433,"about_ca_topic_score_gemma":0.07570284,"domain_scores_codex":[0.998806,0.0001443879,0.0002020701,0.0003448369,0.0002758391,0.0002268752],"domain_scores_gemma":[0.9981309,0.0002502255,0.0004332499,0.0002786988,0.0007460964,0.0001610059],"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":[0.00008876111,0.00002922119,0.004136739,0.000519901,0.00003480569,0.00003213853,0.00006943293,0.0002567105,0.00007912644,0.0004932962,0.9910097,0.0032501],"study_design_scores_gemma":[0.0003359531,0.00003067209,0.06016205,0.0003906003,0.00004747271,0.00007903954,0.0004282529,0.0005409409,0.0003919051,0.0008246033,0.9367267,0.00004180488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003042674,0.00002789843,0.00003104279,0.00002133473,0.000007582107,0.00001092765,0.999231,0.00004625843,0.0003196819],"genre_scores_gemma":[0.0006386698,0.00002875059,0.0001233892,0.0000136168,0.000005192123,0.0001010395,0.9983968,0.00001930037,0.000673171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08025433,"threshold_uncertainty_score":0.1607448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09981342907093851,"score_gpt":0.3406865014816683,"score_spread":0.2408730724107298,"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."}}