{"id":"W4405073863","doi":"10.46747/cfp.701112682_1","title":"Response","year":2024,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine; Data science; Information retrieval","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":[0.003664414,0.0009194293,0.00122131,0.0008512021,0.004520947,0.003183166,0.002850837,0.03419305,0.03716154],"category_scores_gemma":[0.03043028,0.0007232467,0.001169608,0.0007563672,0.002326187,0.003439583,0.0027109,0.03610398,0.02600818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00754351,"about_ca_system_score_gemma":0.007065528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637453,"about_ca_topic_score_gemma":0.02183311,"domain_scores_codex":[0.9966201,0.0007778671,0.0003204552,0.0004567262,0.001144502,0.0006805018],"domain_scores_gemma":[0.9885215,0.003745663,0.0008242546,0.0002744871,0.004908041,0.001726021],"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":[0.00001373187,0.000003994796,0.0001419017,0.0000255445,0.000002634104,0.0001460906,0.00009486998,0.00001035196,0.00003001376,0.0003672901,0.9980851,0.00107841],"study_design_scores_gemma":[0.00003740893,0.00002885582,0.001170455,0.0002835039,0.000009551362,0.0007943143,0.001338761,0.0001052774,0.0001034341,0.001380581,0.9946914,0.00005645737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002017635,0.0003381634,0.00005590287,0.9815577,0.0136187,0.00003383842,0.0001904187,0.0000766622,0.003926846],"genre_scores_gemma":[0.001261629,0.0002072969,0.00007129108,0.9839625,0.003739812,0.00006606325,0.00005258209,0.0000242839,0.01061458],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03716154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204799276232173,"score_gpt":0.2480254753257931,"score_spread":0.2275455477025758,"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."}}