{"id":"W2955380980","doi":"10.29173/iasl7145","title":"Best IASL Conference 2017 Paper: Preparing Teacher Librarians to Support STEM Education","year":2017,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Exploratory research; Pedagogy; Teacher education; 21st century skills; Mathematics education; Service (business); Engineering ethics; Political science; Sociology; Psychology; Engineering; Business; Marketing","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006639214,0.0002648378,0.0002772724,0.0001717006,0.001926641,0.001522042,0.001710998,0.0003789945,0.0005058066],"category_scores_gemma":[0.0006026116,0.0002795242,0.00006818991,0.0001612393,0.0005022534,0.002760067,0.0003098167,0.0003835698,0.0005143189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279286,"about_ca_system_score_gemma":0.00198827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034207,"about_ca_topic_score_gemma":0.0008567889,"domain_scores_codex":[0.9978411,0.00002740131,0.0003366112,0.0006846338,0.0004504229,0.0006597943],"domain_scores_gemma":[0.9977122,0.00002292125,0.0003411142,0.0004578226,0.00109353,0.0003723913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003009267,0.0003981884,0.1146436,0.00005638423,0.00003757996,0.000001499466,0.6289896,1.51499e-7,0.000398032,0.07488203,0.0565251,0.1240378],"study_design_scores_gemma":[0.0003009925,0.0003518853,0.04788751,0.0002215576,0.00007580184,0.00001700791,0.7387969,0.00001971699,0.001133763,0.01862066,0.1917686,0.0008055771],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695288,0.00002980573,0.00009161159,0.01093003,0.00089274,0.0005825651,0.00001242946,0.0002663586,0.3176657],"genre_scores_gemma":[0.9632759,0.00007758112,0.000623541,0.000385565,0.0005091997,0.000222392,0.0000080607,0.00002242289,0.03487532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2937471,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06812636700799077,"score_gpt":0.3552605131875318,"score_spread":0.287134146179541,"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."}}