{"id":"W2951559990","doi":"10.29173/iasl7133","title":"Samples of Applied Interdisciplinary Library Lessons","year":2018,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Field (mathematics); School library; Library science; Work (physics); Sample (material); Computer science; Sociology; Mathematics education; Engineering; Psychology; Mathematics; Chemistry","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":[0.0009103753,0.0005910785,0.0005553815,0.002377244,0.001820354,0.001557495,0.001491653,0.0008646713,0.01249661],"category_scores_gemma":[0.00801718,0.0003198153,0.0004340103,0.003168836,0.0005731963,0.0008853509,0.002967544,0.001251665,0.004164787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666862,"about_ca_system_score_gemma":0.001544917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962728,"about_ca_topic_score_gemma":0.007226193,"domain_scores_codex":[0.9978084,0.0006651817,0.0002099202,0.0002604683,0.0007110909,0.0003449052],"domain_scores_gemma":[0.9958518,0.001290727,0.000215287,0.0004805588,0.001536823,0.0006248328],"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":[0.001588413,0.01379952,0.04366413,0.002006975,0.0001157545,0.001916581,0.05144189,0.003805024,0.01449944,0.005106482,0.04406355,0.8179922],"study_design_scores_gemma":[0.0003787086,0.00420143,0.2260052,0.0008200064,0.00009208986,0.00222727,0.07872654,0.002051682,0.03785093,0.006897633,0.6405751,0.0001733549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8915546,0.0006748087,0.00770511,0.0007022299,0.0001258975,0.00378567,0.002964118,0.0005051272,0.0919825],"genre_scores_gemma":[0.8720357,0.001479557,0.0232125,0.001250884,0.0001164099,0.006719141,0.007577265,0.0006078411,0.08700068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01249661,"threshold_uncertainty_score":0.04180539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154439645072976,"score_gpt":0.2870288035007892,"score_spread":0.2254844070500594,"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."}}