{"id":"W3126457678","doi":"10.29173/iasl7572","title":"Study of Reading Blog in High School Library","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); The Internet; Construct (python library); Computer science; Plan (archaeology); World Wide Web; Multimedia; Mathematics education; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003113304,0.0001257755,0.000245501,0.0001720575,0.00004085646,0.0001670513,0.0006348092,0.00006053572,0.00005924822],"category_scores_gemma":[0.0004642401,0.0001207067,0.0000278059,0.0008225656,0.00003112504,0.001348622,0.0003758026,0.0002272321,0.00001234287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001861408,"about_ca_system_score_gemma":0.0005324538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004867395,"about_ca_topic_score_gemma":0.000005271851,"domain_scores_codex":[0.9986755,0.00003867831,0.0003288549,0.0004297905,0.0002912116,0.0002359869],"domain_scores_gemma":[0.998939,0.0001213064,0.0001236872,0.0001801381,0.000487823,0.0001480143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002359687,0.001614745,0.5787644,0.0001177636,0.00003503674,0.00007742278,0.2575775,0.000001946715,0.00215274,0.1406306,0.001618072,0.01738618],"study_design_scores_gemma":[0.001869426,0.0008562734,0.5515777,0.0004670245,0.00002520411,0.00007069226,0.3348102,0.0006313056,0.02947031,0.07791606,0.001612368,0.0006934556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956501,0.00005387436,0.0005036619,0.001545664,0.0002626763,0.0001645014,0.000003155621,0.00006568267,0.001750747],"genre_scores_gemma":[0.927145,0.00002675708,0.07189062,0.0002298383,0.00008228202,0.00003815606,0.000001726597,0.000007815116,0.0005778017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07723267,"threshold_uncertainty_score":0.4922276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640950122526034,"score_gpt":0.302683579830322,"score_spread":0.2662740786050616,"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."}}