{"id":"W6922865445","doi":"10.1371/journal.pgen.1009231.t001","title":"Tools to identify patients at risk of a cancer predisposition syndrome. Excerpt from the updated Jongmans’ criteria[13] and McGill Interactive Pediatric OncoGenetic Guidelines (MIPOGG)[17].","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Sociology and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Risk assessment; Cancer; MEDLINE; Developed country","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":[0.001612279,0.001437193,0.001893462,0.004001428,0.0008474204,0.001986703,0.002913011,0.002992197,0.2662448],"category_scores_gemma":[0.02060949,0.001103993,0.002148386,0.006946578,0.0003132053,0.001811112,0.002439054,0.001850954,0.07690376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427406,"about_ca_system_score_gemma":0.003354996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0266638,"about_ca_topic_score_gemma":0.05286051,"domain_scores_codex":[0.998646,0.0002664895,0.0003964589,0.0003110791,0.0001998163,0.0001803027],"domain_scores_gemma":[0.9913598,0.004569376,0.001173055,0.0007438555,0.001612474,0.0005415012],"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":[0.000129811,0.00001732815,0.001642191,0.004364981,0.00007169048,0.00003124503,0.00002833412,0.0001315869,0.00005774397,0.0004131385,0.9894449,0.003666996],"study_design_scores_gemma":[0.002343605,0.00004801395,0.02184725,0.006277034,0.0003607766,0.0002582867,0.0001797117,0.0003752206,0.0003249039,0.003936563,0.9639479,0.0001008203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006556919,0.0001155799,0.00006254072,0.0001013811,0.00001634194,0.00003487009,0.9990132,0.00007198359,0.0005185354],"genre_scores_gemma":[0.001095482,0.0003122818,0.0008021574,0.0004325369,0.00002589421,0.0009370405,0.9947079,0.0001671857,0.001519477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2662448,"threshold_uncertainty_score":0.8906777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102022043956244,"score_gpt":0.4228427774912224,"score_spread":0.3208207335349784,"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."}}