{"id":"W4233585435","doi":"10.1037/e506832013-008","title":"Strategic Alliance to Reduce Cervical Cancer in Prince Edward Island","year":2001,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Alliance; Cervical cancer; Cancer; History; Geography; Medicine; Operations research; Archaeology; Engineering; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001165988,0.0009800055,0.0009421943,0.00294969,0.0004194257,0.001103261,0.001816801,0.001249371,0.0192651],"category_scores_gemma":[0.008064547,0.0006095806,0.001136548,0.007743253,0.0001579604,0.0004460808,0.001036019,0.001534537,0.008944712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254436,"about_ca_system_score_gemma":0.00523701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4178569,"about_ca_topic_score_gemma":0.4276061,"domain_scores_codex":[0.9994434,0.0001026843,0.00009187005,0.0001184809,0.0001426532,0.0001009584],"domain_scores_gemma":[0.9962984,0.0008499571,0.0006251531,0.0004467867,0.001317694,0.0004619542],"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":[0.0003480412,0.0000593086,0.02173729,0.00119907,0.0002191577,0.00005589809,0.00005149391,0.001789108,0.0000689536,0.0003224754,0.9666342,0.007514908],"study_design_scores_gemma":[0.001703891,0.0001264951,0.3566849,0.001629328,0.0005742846,0.0001530168,0.0004799866,0.004393102,0.0008620779,0.0006588848,0.632639,0.00009495766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001237179,0.000080109,0.00002740472,0.0001394984,0.00000964943,0.00002181705,0.9979498,0.00004415061,0.0004905797],"genre_scores_gemma":[0.005079647,0.0002008171,0.0002407812,0.0001405468,0.00001037253,0.0002464517,0.991765,0.00002689534,0.00228951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5821431,"threshold_uncertainty_score":0.8308495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09957109079832208,"score_gpt":0.4072816469720361,"score_spread":0.307710556173714,"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."}}