{"id":"W6903358101","doi":"10.11587/wygbns","title":"Mikrocensus 1996, 2. quarter: Birth-Biography, Educational Career","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":"Census; Population; Population statistics; State (computer science); Marital status; Official statistics; Quarter (Canadian coin); Block (permutation group theory)","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.00277281,0.001031379,0.0009243177,0.0009798903,0.003667263,0.001289717,0.02089259,0.0003368162,0.000713626],"category_scores_gemma":[0.001928708,0.0008145998,0.0003882032,0.006707372,0.009135239,0.001333129,0.006020449,0.00221721,0.01410152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003986149,"about_ca_system_score_gemma":0.004541564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563589,"about_ca_topic_score_gemma":0.001867934,"domain_scores_codex":[0.9895818,0.0007579629,0.00100617,0.002971993,0.0036942,0.001987825],"domain_scores_gemma":[0.9921097,0.0009521771,0.001163124,0.004633382,0.0002962754,0.0008453882],"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":[0.0000966353,0.0001662184,0.00006721578,0.00004266372,0.0002085078,0.00002306921,0.001056281,5.905728e-7,0.0001657094,0.0007578052,0.9965097,0.0009056118],"study_design_scores_gemma":[0.000567369,0.0001017687,0.004291866,0.00006080507,0.0004108678,0.00002673225,0.001613755,0.00001530851,0.00001032253,0.002430932,0.9894707,0.000999562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003924348,0.00007590626,0.00000700703,0.007461288,0.001900656,0.001240642,0.9880858,0.0001353992,0.001054024],"genre_scores_gemma":[0.001603038,0.00008214968,0.0002130788,0.000985711,0.004665195,0.000113558,0.9921651,0.00009727608,0.00007485208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01487214,"threshold_uncertainty_score":0.999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07550458444866703,"score_gpt":0.3322821376405917,"score_spread":0.2567775531919246,"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."}}