{"id":"W6964274846","doi":"10.25549/wpacards-m34982","title":"WPA household census for 526 W 49TH PL, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Quarter (Canadian coin); Data collection","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":[0.0004899452,0.001645511,0.001391487,0.005486107,0.0007825348,0.001447552,0.001725118,0.0007766593,0.06937142],"category_scores_gemma":[0.003579935,0.001155194,0.000738067,0.01487264,0.0001831894,0.001135772,0.001030867,0.001353002,0.06254128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132118,"about_ca_system_score_gemma":0.004868639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3373581,"about_ca_topic_score_gemma":0.392626,"domain_scores_codex":[0.9993525,0.00005446858,0.00009990922,0.0001740236,0.0001901644,0.0001289153],"domain_scores_gemma":[0.9977193,0.000215614,0.0003758006,0.0002068054,0.001246204,0.0002361084],"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":[0.00003420082,0.00002368186,0.004635844,0.0002001074,0.00002497849,0.00001883897,0.00004195779,0.0001575184,0.00002403728,0.0001552003,0.991877,0.002806565],"study_design_scores_gemma":[0.0002188449,0.00002595332,0.1452752,0.0004526518,0.00007965486,0.00006461613,0.0006071007,0.0005917049,0.00026659,0.0004447472,0.8519267,0.00004616991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000472125,0.00003530478,0.00004141947,0.00002845196,0.00001113528,0.00001743696,0.9982481,0.00005585066,0.001090199],"genre_scores_gemma":[0.001492491,0.0001467924,0.0001607052,0.00003994437,0.00001228989,0.000283656,0.990885,0.00004521975,0.006934033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3373581,"threshold_uncertainty_score":0.6707888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453423893551982,"score_gpt":0.1752981578567946,"score_spread":0.1607639189212748,"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."}}