{"id":"W2891191994","doi":"10.1080/00393630.2018.1476961","title":"Preventive Conservation on Demand: Developing Tools and Learning Resources for the Next Generation of Collections Professionals","year":2018,"lang":"en","type":"article","venue":"Studies in Conservation","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Pace; Informal learning; Knowledge management; On demand; Engineering; Business; Computer science; Multimedia; Political science; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008229353,0.0001174513,0.0001995604,0.0001303827,0.001847674,0.00008906231,0.00006080334,0.00003671364,0.00002181627],"category_scores_gemma":[0.001451226,0.00008518809,0.00003496184,0.0001557263,0.0005239975,0.000242089,0.00005739926,0.00009840777,7.6022e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005530107,"about_ca_system_score_gemma":0.00004956474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001945678,"about_ca_topic_score_gemma":0.005807607,"domain_scores_codex":[0.9990185,0.000147109,0.0003976048,0.0001841536,0.000131999,0.0001206458],"domain_scores_gemma":[0.9968108,0.001991272,0.0002509437,0.00009044912,0.0008481528,0.000008397232],"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":[0.0004560964,0.0001494348,0.01551523,0.0004659414,0.0006106457,5.531122e-7,0.299074,0.00003412103,0.001272204,0.5191031,0.1454309,0.01788777],"study_design_scores_gemma":[0.001872538,0.001486709,0.03601152,0.001587344,0.0001783918,0.000002351328,0.1731472,0.01647387,0.004630509,0.02045546,0.7435176,0.000636482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709733,0.001570368,0.002759213,0.01959405,0.000755746,0.001776245,0.00003145717,0.00008274051,0.002456868],"genre_scores_gemma":[0.9849976,0.0009157307,0.00194305,0.002659188,0.0005594637,0.0009003518,0.00002421079,0.00001645407,0.007983915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5980867,"threshold_uncertainty_score":0.9994518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3437355686843833,"score_gpt":0.3789511811806555,"score_spread":0.0352156124962722,"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."}}