{"id":"W7100883557","doi":"","title":"Acknowledgements","year":2012,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comparability; Cancer incidence; Quality (philosophy); Cancer; Diversity (politics); Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005330736,0.0009985775,0.001083619,0.002200035,0.002215683,0.002932554,0.00227214,0.001427379,0.323355],"category_scores_gemma":[0.02983425,0.0002808497,0.000613874,0.001584815,0.0007947471,0.001960754,0.004009202,0.00292865,0.1671232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778095,"about_ca_system_score_gemma":0.007360775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008829022,"about_ca_topic_score_gemma":0.01105404,"domain_scores_codex":[0.9947506,0.001153282,0.0003459188,0.0007469652,0.002496857,0.0005063685],"domain_scores_gemma":[0.9752674,0.002578844,0.0006904994,0.001615317,0.0164888,0.003359247],"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":[0.00006752254,0.00001974205,0.0007155845,0.0001437922,0.000006397056,0.0002544719,0.0003935801,0.00006074848,0.000272469,0.004761908,0.9539722,0.03933156],"study_design_scores_gemma":[0.000008079267,0.00001114746,0.0007556716,0.0001414736,0.000005000372,0.000352808,0.0004662882,0.00005421166,0.00009084721,0.00135708,0.9967498,0.000007562732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009761358,0.01284989,0.02093662,0.2172664,0.140015,0.001595323,0.07264855,0.004391712,0.5205351],"genre_scores_gemma":[0.05556146,0.006324307,0.02336603,0.05365879,0.0124249,0.001937515,0.04098424,0.00303155,0.8027113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.676645,"threshold_uncertainty_score":0.965152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278696101892986,"score_gpt":0.3888349228415502,"score_spread":0.2609653126522516,"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."}}