{"id":"W6908112863","doi":"10.25549/wpacards-c8-137125","title":"WPA block face card for household census (block 30) in Los Angeles County","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); 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":[0.0006297853,0.001405748,0.001211662,0.005283343,0.0008153831,0.002010291,0.001778916,0.001078913,0.09899694],"category_scores_gemma":[0.005417624,0.0008450808,0.0006570983,0.01137855,0.0002638731,0.001242114,0.001508429,0.001206991,0.114487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884844,"about_ca_system_score_gemma":0.004539729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1862078,"about_ca_topic_score_gemma":0.2268113,"domain_scores_codex":[0.9990846,0.00008775315,0.0001127238,0.0002324645,0.0002951763,0.0001873698],"domain_scores_gemma":[0.9964772,0.0003850445,0.0004865068,0.0005155679,0.001800074,0.0003356409],"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":[0.00002985711,0.00001411554,0.001756189,0.0001099368,0.00001098435,0.00001045279,0.00001922933,0.0001154521,0.00002743155,0.0001565865,0.9959893,0.001760541],"study_design_scores_gemma":[0.0001331993,0.00001450301,0.03463767,0.0002516304,0.00002915655,0.00004015461,0.0002748024,0.0005418798,0.0003358163,0.0004745087,0.9632272,0.00003954844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002440335,0.00001504731,0.00003242885,0.00002139399,0.000008916811,0.000009509409,0.9987429,0.00008416548,0.0008417334],"genre_scores_gemma":[0.0005920992,0.00003157757,0.0001139561,0.0000196987,0.000005525878,0.00008488056,0.9966024,0.000031965,0.002517881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1862078,"threshold_uncertainty_score":0.370248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242268411920061,"score_gpt":0.1744753079757455,"score_spread":0.1620526238565448,"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."}}