{"id":"W6947396791","doi":"10.3886/icpsr34763","title":"Census of Population and Housing, 2010 [United States]: Guam Summary File","year":2018,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Residence; Quarter (Canadian coin); Apartment; Unit (ring theory); Poverty; Citizenship","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":[0.0008585737,0.001096808,0.001181269,0.003461092,0.0005908076,0.001082514,0.001564133,0.0004942448,0.05256307],"category_scores_gemma":[0.005850967,0.0003674336,0.0004339269,0.01402683,0.0001709958,0.001265401,0.0009733903,0.0009230716,0.04467519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204523,"about_ca_system_score_gemma":0.003426027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1435898,"about_ca_topic_score_gemma":0.1032917,"domain_scores_codex":[0.9990461,0.0001620338,0.0001689899,0.0001920495,0.0003017047,0.0001290959],"domain_scores_gemma":[0.9968802,0.0002866707,0.0003452611,0.000175219,0.00215108,0.0001616672],"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":[0.00002876343,0.00001693547,0.003236749,0.0002482093,0.00001321896,0.00001690349,0.00005680718,0.00009212068,0.00003094037,0.0004176559,0.9919292,0.003912555],"study_design_scores_gemma":[0.00009722886,0.00004536126,0.1136724,0.0004350806,0.00003259916,0.0000884214,0.0005519644,0.0007330759,0.0001484312,0.0005978842,0.8835601,0.00003751078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005998792,0.00006166122,0.000081154,0.00007191231,0.00004255661,0.00007515941,0.9963569,0.00009079366,0.002619971],"genre_scores_gemma":[0.003934588,0.0002989075,0.0006416411,0.0001714082,0.00004160153,0.0007614673,0.9891909,0.00007542301,0.00488411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1435898,"threshold_uncertainty_score":0.2855081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0500482765452075,"score_gpt":0.2824176185051579,"score_spread":0.2323693419599504,"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."}}