{"id":"W6926989249","doi":"10.25549/wpacards-m67353","title":"WPA household census for 1807 W 45TH ST, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Data collection; Statistical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001568111,0.000304343,0.0004397999,0.0001643455,0.0001780047,0.0002389867,0.0009194438,0.0003075798,0.001317686],"category_scores_gemma":[0.00002742086,0.0002877206,0.0002405307,0.0001398805,0.0003680583,0.0004759626,0.0005724977,0.0002245708,0.0006069122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004279398,"about_ca_system_score_gemma":0.0002170966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087752,"about_ca_topic_score_gemma":0.000005740727,"domain_scores_codex":[0.9982587,0.00003960457,0.0002261737,0.0004050519,0.000516706,0.0005538028],"domain_scores_gemma":[0.99878,0.0001452588,0.000255604,0.0004626455,0.00005940444,0.0002970554],"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":[0.0001943905,0.0002049081,0.0002940608,0.00038197,0.0000281271,0.00002889461,0.000002634677,0.000002103559,0.00004670352,0.00001103732,0.9985316,0.0002736034],"study_design_scores_gemma":[0.0003718194,0.0000337578,0.000006551293,0.0001036769,0.0000564851,0.000003412241,0.0003216469,0.000005903289,0.0001669063,0.0001171964,0.9984869,0.0003257854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004749632,0.0002210481,0.00001611993,0.00003961915,0.0000767358,0.0003054946,0.9939317,0.000104991,0.0005546934],"genre_scores_gemma":[0.0003790016,0.00005267973,0.0001380712,0.00004877648,0.0002520964,8.028828e-7,0.9986656,0.00005048559,0.0004124323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004733988,"threshold_uncertainty_score":0.9999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907472488968087,"score_gpt":0.2017730329034985,"score_spread":0.1826983080138176,"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."}}