{"id":"W6894244761","doi":"10.5683/sp3/ummjbl","title":"Data Services and Quantitative Literacy: Two Works-in-Progress","year":2005,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Carleton University","funders":"","keywords":"Quantitative analysis (chemistry); Literacy; Quantitative assessment; Quantitative research; Quantitative methodology; Adult literacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008315537,0.0006951411,0.0008232871,0.0005971406,0.00009689534,0.0007580888,0.002535361,0.0003446522,0.0001016621],"category_scores_gemma":[0.00009344164,0.000662487,0.00005050673,0.0006069763,0.0002845855,0.001694359,0.00165046,0.000734966,0.0003951506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140846,"about_ca_system_score_gemma":0.0001194178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.102812,"about_ca_topic_score_gemma":0.5145329,"domain_scores_codex":[0.996274,0.000326828,0.0006664232,0.001411619,0.0006434896,0.0006776208],"domain_scores_gemma":[0.9949636,0.0002965516,0.0005756014,0.003781504,0.000153979,0.0002287491],"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":[0.0001731589,0.0001729509,0.0001947317,0.0003455245,0.0001307289,0.0002697283,0.0002577839,0.000004791619,5.107599e-7,0.00004781091,0.9940701,0.004332226],"study_design_scores_gemma":[0.0009795855,0.00004240879,0.002154643,0.001612029,0.0002154217,0.00002794131,0.0001271056,0.0008031548,7.902846e-7,0.00008522916,0.9932647,0.000687011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006047128,0.01674646,7.80331e-7,0.0002043964,0.0001041535,0.0005146565,0.9821534,0.0001058483,0.0001097934],"genre_scores_gemma":[0.00001239149,0.001913883,0.002687841,0.0002849414,0.0004771331,0.00006897171,0.994399,0.0001433473,0.00001251568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4117209,"threshold_uncertainty_score":0.9995826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686202224856386,"score_gpt":0.3797218426811919,"score_spread":0.3328598204326281,"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."}}