{"id":"W3135472986","doi":"10.29173/iasl7938","title":"School libraries, information gap and social inclusion in Papua New Guinea – Making it happen","year":2021,"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":"New guinea; Resource (disambiguation); Inclusion (mineral); Sociology; Information resource; School library; Public relations; Library science; Political science; Knowledge management; Social science; Computer science; Ethnology","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005739933,0.0001359224,0.0001732126,0.0001767178,0.00102699,0.001900394,0.0004014066,0.0001527684,0.0008447496],"category_scores_gemma":[0.0005826438,0.0001353587,0.00003236982,0.0007569138,0.0001770419,0.04659953,0.0009963119,0.0002284706,0.00009080982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005757539,"about_ca_system_score_gemma":0.001359274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004382358,"about_ca_topic_score_gemma":0.00007011938,"domain_scores_codex":[0.9983791,0.00002686683,0.0004333209,0.0001928514,0.0005898119,0.0003780131],"domain_scores_gemma":[0.9990967,0.00003465846,0.0001933035,0.00005123798,0.0004549236,0.0001692022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002300375,0.00001229713,0.01179858,0.00004173948,0.000002961728,0.00000153457,0.8019733,3.546421e-7,0.00002447032,0.1306197,0.02526633,0.03023577],"study_design_scores_gemma":[0.0004311493,0.00003377339,0.00893123,0.000123847,0.000003824228,0.000003970277,0.3031121,0.000356961,0.0001093212,0.0256616,0.6609678,0.0002644266],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239144,0.0001608757,0.0003528787,0.1249271,0.0003789976,0.0005805134,0.00003587279,0.0002553563,0.249394],"genre_scores_gemma":[0.9832911,0.00006834443,0.001169765,0.01267737,0.0002536123,0.000008936958,0.0000362972,0.000004667434,0.002489884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6357015,"threshold_uncertainty_score":0.9991357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468859550101427,"score_gpt":0.2971621403875753,"score_spread":0.262473544886561,"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."}}