{"id":"W2283941483","doi":"","title":"Inside Out: Library Services At Point Of Need. Presented at Ontario Library Association (OLA) Super Conference, Toronto, Ontario, 2008.","year":2009,"lang":"en","type":"article","venue":"YorkSpace (York University)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Association (psychology); Point (geometry); Media studies; Sociology; Computer science; Psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005452293,0.000283255,0.0003378166,0.0003381498,0.000310263,0.0004613872,0.001127365,0.0002272101,0.002199733],"category_scores_gemma":[0.000006628562,0.0003013304,0.0001594523,0.0008047845,0.00003739745,0.009553374,0.001050924,0.0002006218,0.00006694182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317783,"about_ca_system_score_gemma":0.0008277718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01960461,"about_ca_topic_score_gemma":0.3742506,"domain_scores_codex":[0.9982009,0.00009389104,0.0002634333,0.0005138419,0.0004877282,0.0004401928],"domain_scores_gemma":[0.9988145,0.0001158362,0.0003091583,0.0004357775,0.00005540332,0.0002693459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005249252,0.0002687698,0.7105916,0.00002731643,0.0001909605,0.00009765269,0.02419515,0.00009231232,0.0001566258,0.01344474,0.2497207,0.0006892798],"study_design_scores_gemma":[0.0009857402,0.0001897321,0.1577438,0.00007818656,0.0000230368,0.000004692409,0.0008126571,0.0002561894,0.002369528,0.0005357526,0.8365608,0.0004398764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4134183,0.0001528771,0.0002365206,0.003024808,0.0003090469,0.000273411,0.00001007555,0.0004703043,0.5821047],"genre_scores_gemma":[0.2727709,0.00005731437,0.003087589,0.0005923255,0.00003794812,6.500948e-7,0.00007234016,0.00001358205,0.7233673],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5868401,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928588243732731,"score_gpt":0.1572142699970527,"score_spread":0.1482856817533199,"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."}}