{"id":"W2413673611","doi":"10.1503/cmaj.1041125","title":"Pound of prevention, ounce of cure?","year":2004,"lang":"en","type":"editorial","venue":"Canadian Medical Association Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluid ounce (US); Pound (networking); Medicine; Computer science; Data science; World Wide Web; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009670569,0.004555078,0.004899948,0.003081457,0.003448106,0.00701249,0.004266917,0.0199828,0.009881907],"category_scores_gemma":[0.03380987,0.001375679,0.002242566,0.002050196,0.005170669,0.004824813,0.0009997007,0.03481881,0.007477792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004165643,"about_ca_system_score_gemma":0.004277925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006473857,"about_ca_topic_score_gemma":0.01773342,"domain_scores_codex":[0.9957483,0.000944771,0.000685302,0.0005265335,0.001781169,0.0003139394],"domain_scores_gemma":[0.9731993,0.01417365,0.001254054,0.000794591,0.007302827,0.003275574],"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":[0.00006445165,0.00002395964,0.00005661208,0.0004312774,0.00004102802,0.0001432402,0.00001907369,0.0000361142,0.00005113202,0.0008794548,0.9895666,0.008686979],"study_design_scores_gemma":[0.00009397074,0.00005448151,0.0005043011,0.0005984188,0.0001067259,0.000261955,0.000073118,0.0001276742,0.00007037781,0.001272992,0.9968024,0.00003359958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002511399,0.01042099,0.00008815088,0.042668,0.9455858,0.000008773954,0.00002619451,0.00003157468,0.001145377],"genre_scores_gemma":[0.0004373688,0.009163089,0.0001477285,0.04360069,0.9406832,0.00001605357,0.00001812452,0.00001768867,0.005915921],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0199828,"threshold_uncertainty_score":0.05114347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007037024266988014,"score_gpt":0.275030486423643,"score_spread":0.267993462156655,"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."}}