{"id":"W4385612057","doi":"10.1080/10875301.2023.2242843","title":"Mobile Application Development Lab and University of Toronto Libraries: Advancing Innovation through Synergistic Collaboration","year":2023,"lang":"en","type":"article","venue":"Internet Reference Services Quarterly","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"General partnership; Transformative learning; Creativity; Sociology; Public relations; Library science; Political science; Computer science; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001190981,0.0001323938,0.0001499958,0.00009635924,0.00006996884,0.0001980107,0.0002355422,0.00006809644,0.00004700898],"category_scores_gemma":[0.00000877602,0.0001468046,0.00001091013,0.0006796718,0.00003906503,0.003595759,0.00009786041,0.00005244863,0.0001532667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008054083,"about_ca_system_score_gemma":0.00003818017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969887,"about_ca_topic_score_gemma":0.01551461,"domain_scores_codex":[0.999119,0.000005497398,0.0002700003,0.0002819815,0.0001554692,0.0001680689],"domain_scores_gemma":[0.9992078,0.000020308,0.0003270213,0.000153173,0.0002849704,0.000006742882],"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":[0.0004090042,0.0002400604,0.03877948,0.005256671,0.0001195705,0.00001889526,0.04907667,0.0001172171,0.02693963,0.5506563,0.00268625,0.3257003],"study_design_scores_gemma":[0.001309622,0.0004250172,0.08545424,0.001298493,0.00006380642,0.000001834705,0.09008346,0.02721679,0.003810253,0.01618458,0.7730077,0.001144225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838509,0.0001039837,0.006812385,0.00004894182,0.0001483764,0.000280807,0.000006696881,0.0002311914,0.008516722],"genre_scores_gemma":[0.9982521,0.00002008767,0.0005187521,0.00009426835,0.00005009221,0.00001422271,0.0002707065,0.00001359305,0.0007661946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7703214,"threshold_uncertainty_score":0.8657519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123015579009935,"score_gpt":0.2225686047505164,"score_spread":0.211338448960417,"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."}}