{"id":"W3141117630","doi":"10.29173/iasl8100","title":"Behind the Inspiring Connections: Research and Researchers in School Librarianship","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Session (web analytics); Work (physics); Sociology; Political science; Medical education; Medicine; Engineering; Computer science","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":[0.05563284,0.0003559513,0.00128196,0.01414151,0.02054074,0.03871017,0.001484338,0.006733015,0.006928841],"category_scores_gemma":[0.08405917,0.001013321,0.0006005985,0.02430345,0.03353929,0.04699272,0.01279254,0.008022332,0.001673985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009027947,"about_ca_system_score_gemma":0.01637682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004281616,"about_ca_topic_score_gemma":0.006447556,"domain_scores_codex":[0.9341645,0.05357892,0.002974627,0.002220522,0.004131461,0.002929996],"domain_scores_gemma":[0.8013114,0.1594932,0.01086371,0.004649609,0.01019684,0.01348518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006922783,0.0001781313,0.01410464,0.0007283365,0.0000229313,0.000436041,0.8182901,0.00004721315,0.0003168431,0.09063486,0.007242533,0.0679291],"study_design_scores_gemma":[0.0000281955,0.0001204306,0.007592184,0.001314374,0.00002258664,0.0003610652,0.8142954,0.00008230159,0.0003373686,0.03112792,0.1446712,0.00004701646],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3939186,0.1905942,0.005762639,0.286985,0.001895324,0.0002624079,0.0001016069,0.0002355399,0.1202447],"genre_scores_gemma":[0.9279733,0.04193057,0.002791398,0.01426464,0.0007769194,0.0001974261,0.00004916425,0.00007888504,0.01193764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05563284,"threshold_uncertainty_score":0.2942181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2317453366141896,"score_gpt":0.4070475941801681,"score_spread":0.1753022575659785,"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."}}