{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009159499,0.0008133189,0.0005196993,0.003183805,0.006683715,0.01471457,0.001895721,0.00406181,0.1245416],"category_scores_gemma":[0.01336651,0.0004180765,0.0005580755,0.002348619,0.001574281,0.005826853,0.005243944,0.00257625,0.06755342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005507655,"about_ca_system_score_gemma":0.02004583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396369,"about_ca_topic_score_gemma":0.02177466,"domain_scores_codex":[0.9952154,0.0009390326,0.000305459,0.0002715568,0.002251894,0.001016606],"domain_scores_gemma":[0.9770195,0.002449554,0.001113329,0.00107417,0.01082435,0.007518956],"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":[0.00003677381,0.0001867792,0.001709874,0.0002150976,0.000004495228,0.0001832168,0.001308136,0.00004848812,0.0005342494,0.001965344,0.9249699,0.06883764],"study_design_scores_gemma":[0.000005637024,0.00004666748,0.0012362,0.0002221766,0.00000398201,0.00009325182,0.002730449,0.00003503793,0.0004180624,0.0003906817,0.9948081,0.000009879604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01828283,0.01338282,0.003074185,0.307785,0.06405719,0.0005602445,0.002120569,0.002113352,0.5886238],"genre_scores_gemma":[0.06779492,0.01125169,0.006710469,0.01666358,0.01800042,0.0003685299,0.002565664,0.001025745,0.8756189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1245416,"threshold_uncertainty_score":0.4166333,"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."}}