{"id":"W3071110054","doi":"","title":"The Truth in Our Stories: Culturally Inclusive and Relevant School Library Learning Commons","year":2018,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; Multiculturalism; Inclusion (mineral); Indigenous; School library; Equity (law); Sociology; Political science; Media studies; Traditional knowledge; Library science; Pedagogy; Public relations; Social science; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003575904,0.00005265262,0.00005633355,0.00002354066,0.001541093,0.000450309,0.00022027,0.00004248179,0.0000840841],"category_scores_gemma":[0.0005705942,0.00003142021,0.00001363926,0.000305256,0.0002855211,0.002107423,0.00009569219,0.0001315598,0.00003909244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001783269,"about_ca_system_score_gemma":0.0003089526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005164381,"about_ca_topic_score_gemma":0.004093416,"domain_scores_codex":[0.9991991,0.0001708932,0.0001159879,0.0001329633,0.0001846007,0.0001964423],"domain_scores_gemma":[0.9995552,0.0002042206,0.00004483099,0.00006798197,0.00002201448,0.000105743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005884911,0.00004005511,0.3023949,0.000004622671,0.000009463776,0.00001120078,0.1259769,0.000003384137,0.0003195308,0.5269499,0.03214547,0.01208575],"study_design_scores_gemma":[0.0002087355,0.0002228773,0.05234267,0.00002444185,0.000002508523,0.000001286425,0.352522,0.0001403036,0.0003366798,0.01137388,0.5826507,0.0001740052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7332481,0.0000779902,0.000009230377,0.06071651,0.0003648741,0.0001501233,9.528501e-7,0.00009587435,0.2053364],"genre_scores_gemma":[0.9802137,0.0001553006,0.0002001127,0.000329997,0.0003547644,0.000003340367,0.000001724976,0.000002934142,0.0187381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505052,"threshold_uncertainty_score":0.9997588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642343618985617,"score_gpt":0.3091247852284091,"score_spread":0.2927013490385529,"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."}}