{"id":"W4253253683","doi":"10.1503/cmaj.070083","title":"News @ a glance","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004982094,0.00008278369,0.0002068356,0.0003270236,0.0002113595,0.00003579732,0.0001707982,0.0002568506,0.004531168],"category_scores_gemma":[0.005573179,0.00006422253,0.00007905361,0.0004924197,0.00007603757,0.00008133192,0.000009052672,0.001086738,0.0002830492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186879,"about_ca_system_score_gemma":0.005052382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082623,"about_ca_topic_score_gemma":0.05785979,"domain_scores_codex":[0.9962052,0.00004799276,0.0003553944,0.000138541,0.002465338,0.0007875556],"domain_scores_gemma":[0.9943184,0.0001693964,0.0001037295,0.0001074286,0.0004821104,0.004818903],"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":[0.00003367852,0.00003711181,0.4384301,0.000009881114,0.00005181639,0.003696571,0.0004434539,1.548325e-7,0.0001375695,0.0002557827,0.315737,0.2411669],"study_design_scores_gemma":[0.001469766,0.0001142105,0.2538295,0.0000860793,0.00001478113,0.001770554,0.0008483311,0.00005374816,0.00005532857,0.00007468449,0.7416109,0.00007204444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702871,0.0008401793,0.001255056,0.1712711,0.002499391,0.000267587,0.000006282654,0.00004550603,0.1209439],"genre_scores_gemma":[0.9153503,0.0004170844,0.0003932696,0.06861616,0.007285898,0.000002179252,0.000006735327,0.00001623374,0.007912093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.425874,"threshold_uncertainty_score":0.9963788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463112873989699,"score_gpt":0.3149303341415884,"score_spread":0.3002992054016914,"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."}}