{"id":"W4389974939","doi":"10.29173/iasl8557","title":"How School Librarians in Croatia Use Smartphones for Their Professional Needs During the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Space (punctuation); Medical education; Sociology; Computer science; Medicine; Virology","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":[],"category_scores_codex":[0.0007677103,0.0002424893,0.0002121085,0.0004032983,0.0004521186,0.001343521,0.001374427,0.0001557227,0.00002012107],"category_scores_gemma":[0.002139895,0.000173459,0.00006898602,0.001493828,0.0001176808,0.002883614,0.0004464854,0.000461706,0.00003479206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352642,"about_ca_system_score_gemma":0.0007920081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006858448,"about_ca_topic_score_gemma":0.00002227844,"domain_scores_codex":[0.9982471,0.00005330602,0.0002852497,0.0005322464,0.0003232307,0.0005588866],"domain_scores_gemma":[0.998368,0.0005380069,0.000206001,0.0002665601,0.0003893698,0.0002320802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006320637,0.00007393599,0.7257843,0.0002460687,0.00002016763,0.000002536697,0.2446472,0.00008497781,0.001983414,0.008882333,0.01527947,0.002932356],"study_design_scores_gemma":[0.001628407,0.0002132073,0.7552727,0.0002698003,0.00001283312,0.00009872142,0.130727,0.03503596,0.001043574,0.02061716,0.05415526,0.0009253874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634134,0.00002176413,0.008634351,0.02572465,0.0006266299,0.0008848811,0.00002061321,0.0006310744,0.00004258854],"genre_scores_gemma":[0.9888202,0.00002223679,0.001229061,0.0009908009,0.0002187069,0.0008186612,0.00001286635,0.00002379098,0.007863696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139202,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05923545836117693,"score_gpt":0.2939759681954134,"score_spread":0.2347405098342365,"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."}}