{"id":"W4414509393","doi":"10.29173/iq1138","title":"Adventures in data literacy: When the gap you were trying to identify turns out to be a chasm.","year":2025,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adventure; Knowledge production; The Internet; Data collection; Qualitative research","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005243982,0.0002224044,0.0003698931,0.0005579655,0.000203804,0.002141765,0.004750369,0.00006924081,0.0003125588],"category_scores_gemma":[0.001260044,0.0001497573,0.000102076,0.0009264373,0.00005767534,0.001031562,0.001026315,0.0002362395,0.0009549499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006732493,"about_ca_system_score_gemma":0.00007376931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006327454,"about_ca_topic_score_gemma":0.01490346,"domain_scores_codex":[0.9958167,0.000484554,0.000978716,0.001061343,0.001208356,0.0004503412],"domain_scores_gemma":[0.9952551,0.0007643275,0.0001601267,0.003542216,0.0001151144,0.0001631317],"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":[0.0000813196,0.000154872,0.0005533276,0.00002938367,0.00004448622,0.00003089758,0.04916878,0.00001546975,0.00008357684,0.006988153,0.616271,0.3265787],"study_design_scores_gemma":[0.0003421812,0.00009460079,0.03273893,0.000127262,0.00002535128,0.000001099356,0.0174123,0.0003202089,0.000008441897,0.02537727,0.9233449,0.0002074826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1902346,0.000982694,0.06317791,0.7064588,0.007147071,0.003086046,0.002313731,0.0002470106,0.02635215],"genre_scores_gemma":[0.9498438,0.000004249717,0.00130891,0.02504744,0.0001770314,0.0001176743,0.0001434133,0.00001567547,0.02334185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7596092,"threshold_uncertainty_score":0.9998229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2517956435020109,"score_gpt":0.4942851364603817,"score_spread":0.2424894929583708,"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."}}