{"id":"W4244201020","doi":"10.1007/978-0-387-39940-9_3034","title":"Media Recovery","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001339798,0.001192133,0.002147537,0.001003098,0.00008326188,0.00005339217,0.001125142,0.0008167383,0.001379895],"category_scores_gemma":[0.0005582865,0.001195901,0.000523965,0.0001475703,0.0002380251,0.0005963575,0.0003159126,0.001000439,0.01642804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003390025,"about_ca_system_score_gemma":0.0005836844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003390296,"about_ca_topic_score_gemma":0.0001732433,"domain_scores_codex":[0.9937679,0.0001535884,0.002107183,0.001285597,0.001957682,0.0007280745],"domain_scores_gemma":[0.9932866,0.0006955392,0.002040142,0.003116663,0.0003942841,0.0004667372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000243193,0.000148891,0.00003273822,0.001501958,0.0006303189,0.0006990029,0.0002827441,0.00004369223,0.0002821877,0.1270715,0.8547029,0.01436087],"study_design_scores_gemma":[0.0005797027,0.0001273547,0.00002428052,0.003100063,0.0004015824,0.0000910895,0.00003773009,0.00001458795,0.00001926417,0.0008885412,0.9935613,0.001154552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003111764,0.01249621,0.00005610229,0.00001513612,0.004588083,0.001315501,0.03583547,0.0003761823,0.9452862],"genre_scores_gemma":[0.0002075206,0.009799915,0.0008744728,0.00003705086,0.004401,0.00005381457,0.01586651,0.0007181851,0.9680415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1388583,"threshold_uncertainty_score":0.999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111268995805468,"score_gpt":0.2374716041059415,"score_spread":0.2163589141478869,"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."}}