{"id":"W4281262112","doi":"10.5206/elip.v5i1.14542","title":"Online Content Analysis of Ontario Public Libraries’ Sensory Programming and Service Offerings","year":2022,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; Sensory system; Service (business); Computer science; Marketing; Public relations; Business; Psychology; Political science; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001653547,0.0001986076,0.000297097,0.01035131,0.002961504,0.002829451,0.0006338817,0.0002774958,0.009401561],"category_scores_gemma":[0.01196926,0.0001902828,0.0002447018,0.02216793,0.001291978,0.00138215,0.001595699,0.0003152809,0.001021806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0241248,"about_ca_system_score_gemma":0.02810331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.858919,"about_ca_topic_score_gemma":0.9144665,"domain_scores_codex":[0.9983038,0.0002460516,0.0001435784,0.0001522644,0.0008166731,0.0003377119],"domain_scores_gemma":[0.9821604,0.004809055,0.002264344,0.0005593878,0.009119659,0.001086989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004421629,0.0002333942,0.4773011,0.002085434,0.00004578935,0.001129269,0.2885402,0.0004085935,0.005662498,0.005472088,0.04967905,0.1690004],"study_design_scores_gemma":[0.00001190591,0.00004505282,0.7418272,0.0004184447,0.00003988103,0.0001422458,0.1600301,0.0007337396,0.001393594,0.0002250831,0.09508088,0.00005186122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276565,0.0002724563,0.000717718,0.0008840197,0.00002410382,0.0006494042,0.03192098,0.0001209207,0.03775382],"genre_scores_gemma":[0.949101,0.001076457,0.002886302,0.000252133,0.00004272021,0.0009998227,0.01723796,0.0001422914,0.02826136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141081,"threshold_uncertainty_score":0.2838237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300217926289002,"score_gpt":0.2707302470425605,"score_spread":0.2077280677796705,"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."}}