{"id":"W4233731933","doi":"10.1002/bult.2009.1720350504","title":"Introduction","year":2009,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digitization; Computer science; Newspaper; World Wide Web; Media studies; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002006062,0.001364206,0.0008157149,0.001590066,0.00320618,0.008015872,0.00310271,0.004588507,0.4716541],"category_scores_gemma":[0.009173306,0.000396152,0.0009996288,0.001693211,0.001551524,0.005580317,0.004454827,0.003172027,0.3054557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003216726,"about_ca_system_score_gemma":0.005092536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005193922,"about_ca_topic_score_gemma":0.004896148,"domain_scores_codex":[0.9968134,0.000410491,0.0001834816,0.0008796665,0.001308071,0.0004050022],"domain_scores_gemma":[0.996157,0.0004832488,0.0002053396,0.0004783407,0.001912045,0.0007641508],"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":[0.0001099729,0.00008656699,0.001421635,0.0005141498,0.00001552114,0.0004793194,0.0007191732,0.0001959981,0.0005285155,0.0380914,0.7720399,0.1857979],"study_design_scores_gemma":[0.000005752001,0.00002036008,0.0004186087,0.000206736,0.000004503655,0.0002766811,0.0002638081,0.00005074606,0.0001237162,0.004847507,0.9937721,0.000009448681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003191338,0.008455849,0.01089496,0.02756833,0.01640476,0.0004285973,0.007402649,0.002628738,0.9230248],"genre_scores_gemma":[0.03203581,0.009674731,0.008491799,0.02056616,0.005313178,0.0005449501,0.01194375,0.001191786,0.9102378],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5283459,"threshold_uncertainty_score":0.7536213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006507255238439863,"score_gpt":0.2401539240059541,"score_spread":0.2336466687675142,"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."}}