{"id":"W7011620889","doi":"","title":"NECOM Skincare Algorithm for Patients With Cancer and Survivors","year":2023,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cancer; Triage; Skin cancer; Health care; Quality of life (healthcare); Oncology nursing; Cancer recurrence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007097198,0.0004692502,0.0008008773,0.001505473,0.0009397012,0.001129123,0.001242806,0.001441871,0.009510422],"category_scores_gemma":[0.01980622,0.00024365,0.002135085,0.0007273028,0.0002279857,0.00113501,0.002850702,0.001824201,0.002020201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912907,"about_ca_system_score_gemma":0.004956078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003941429,"about_ca_topic_score_gemma":0.009615277,"domain_scores_codex":[0.9951617,0.002489132,0.001305039,0.0002984629,0.0005191441,0.0002265201],"domain_scores_gemma":[0.9928349,0.002043762,0.0018769,0.0002025506,0.002190858,0.0008510209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001486691,0.0005311671,0.1007252,0.01058983,0.0005353304,0.0008878963,0.001554905,0.00215454,0.0005583204,0.005407179,0.3797523,0.4958165],"study_design_scores_gemma":[0.002797318,0.001685808,0.1989588,0.04906969,0.001830083,0.00318451,0.003633259,0.004764024,0.001527791,0.01479334,0.7174999,0.0002555319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1569972,0.1126969,0.05285082,0.3190816,0.006726343,0.05201202,0.05494105,0.002511096,0.242183],"genre_scores_gemma":[0.4424688,0.05748226,0.3239854,0.04438689,0.002074172,0.04431821,0.05580835,0.0003678666,0.02910803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009510422,"threshold_uncertainty_score":0.037534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008945638837016892,"score_gpt":0.2294420730393578,"score_spread":0.2204964342023409,"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."}}