{"id":"W4246838470","doi":"10.32920/ryerson.14654217","title":"Integrating cinema: uncovering the film librarianship of William J. Sloan at the New York Public Library","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Lethbridge","funders":"","keywords":"Library science; Movie theater; Institution; Work (physics); Sociology; Collection development; Programmer; Media studies; Political science; Art history; History; Computer science; Engineering; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003572097,0.0002120321,0.0002540723,0.004591708,0.008507569,0.01256974,0.0005996641,0.0008017924,0.005652539],"category_scores_gemma":[0.01226144,0.0003756846,0.0001307781,0.004207011,0.009299876,0.008011335,0.004132427,0.002473323,0.0007867594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007325097,"about_ca_system_score_gemma":0.00672397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04496957,"about_ca_topic_score_gemma":0.1188881,"domain_scores_codex":[0.9975795,0.001427248,0.00006211206,0.0002348752,0.0004216402,0.000274663],"domain_scores_gemma":[0.9894488,0.005962073,0.00142496,0.0003727222,0.001455364,0.001336095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007176676,0.0001035245,0.02467149,0.0002368284,0.00001848428,0.001411823,0.6224024,0.0001259455,0.0008615843,0.1740382,0.08239515,0.09366281],"study_design_scores_gemma":[0.0000061612,0.0000253287,0.0291534,0.0006381992,0.00001643758,0.0004622859,0.3589767,0.0003188214,0.0005977349,0.01112693,0.5986423,0.00003561182],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6248919,0.0109899,0.004252188,0.07968068,0.0006110221,0.00007310269,0.0002526218,0.0001000166,0.2791486],"genre_scores_gemma":[0.9328059,0.008774853,0.001800344,0.004146855,0.0005085043,0.00004441617,0.0001139896,0.0001613789,0.05164377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04496957,"threshold_uncertainty_score":0.08941561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734099617665098,"score_gpt":0.2120899314462151,"score_spread":0.1547489352695642,"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."}}