{"id":"W2979329382","doi":"10.29173/iasl7400","title":"From Ohio to Uppsala","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformational leadership; Principal (computer security); Process (computing); Pedagogy; Sociology; Psychology; Mathematics education; Political science; Public relations; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524938,0.0003526023,0.0002672842,0.001530306,0.01514928,0.008686528,0.0009035754,0.001068053,0.03620967],"category_scores_gemma":[0.003016092,0.0007468716,0.0003297844,0.00325147,0.003276607,0.003371581,0.01262088,0.002598476,0.00604329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007543174,"about_ca_system_score_gemma":0.02226483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162896,"about_ca_topic_score_gemma":0.2694255,"domain_scores_codex":[0.9981773,0.0003610999,0.00009752998,0.0002236955,0.0006168525,0.0005235004],"domain_scores_gemma":[0.9973286,0.000619053,0.0001469361,0.0001942605,0.0006695082,0.00104159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004257415,0.0005099415,0.01580958,0.001614316,0.0000711027,0.0197164,0.2838186,0.0005189836,0.005275442,0.04974531,0.2391945,0.3833001],"study_design_scores_gemma":[0.000009234537,0.00002949564,0.006926157,0.0003095024,0.00001004692,0.0006209323,0.06333629,0.00002214393,0.0005002933,0.001352141,0.926852,0.00003175903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2999827,0.01232558,0.002537576,0.03248318,0.00167903,0.0002650733,0.002067785,0.000536032,0.648123],"genre_scores_gemma":[0.6071265,0.0136463,0.004198313,0.01032285,0.0003364037,0.0005548216,0.001954759,0.0005604416,0.3612996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1162896,"threshold_uncertainty_score":0.2312256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575476114882065,"score_gpt":0.2791949734571399,"score_spread":0.2634402123083193,"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."}}