{"id":"W1907274940","doi":"10.1111/muan.12087","title":"Teaching Collections Management Anthropologically","year":2015,"lang":"en","type":"article","venue":"Museum Anthropology","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embodied cognition; Collections management; Data collection; Sociology; Process (computing); Computer science; Library science; History; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001863419,0.0001843726,0.0002338102,0.0001127704,0.001311532,0.0001476949,0.0002086833,0.00007305628,0.01442035],"category_scores_gemma":[0.00002054457,0.000137723,0.00008383006,0.00006304211,0.001377795,0.0001676485,0.000114911,0.0002175887,0.0004534233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007146663,"about_ca_system_score_gemma":0.00002166873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005131181,"about_ca_topic_score_gemma":0.003956476,"domain_scores_codex":[0.9987777,0.0001153849,0.0002519167,0.000301145,0.0001573648,0.0003964674],"domain_scores_gemma":[0.9994432,0.0000239794,0.00006699641,0.000233949,0.00008357142,0.0001483044],"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":[0.00002273197,0.0001966868,0.00003904829,0.00001338199,0.0000564225,0.00005885601,0.01341291,0.000003172493,0.00001697195,0.7841523,0.2000466,0.001980862],"study_design_scores_gemma":[0.0004223757,0.0003385859,0.00002958641,0.00000799311,0.00002499813,0.00002648711,0.08263069,0.00002923369,0.00001211005,0.004072373,0.912204,0.0002015422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01485043,0.0001846694,0.0002652563,0.0111749,0.003456754,0.0002334663,0.00002023293,0.0003653732,0.9694489],"genre_scores_gemma":[0.9221581,0.00006599491,0.0004582274,0.001044239,0.0007784112,0.00003885144,0.00001684129,0.00002234601,0.07541699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9073077,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07475883420136374,"score_gpt":0.2927348951651045,"score_spread":0.2179760609637407,"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."}}