{"id":"W6995973210","doi":"","title":"Providing treatment and care for Manitobans with cancer and advancing cancer research","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Scope (computer science); Cancer treatment; MEDLINE; Alternative 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":[0.0007858569,0.0004743091,0.0002195138,0.0009658639,0.004455172,0.002355601,0.0007606609,0.001523654,0.2170344],"category_scores_gemma":[0.00203144,0.0003611883,0.000200952,0.001137511,0.0006985385,0.0009922741,0.002352701,0.002017487,0.07627554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003980559,"about_ca_system_score_gemma":0.01890136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2140444,"about_ca_topic_score_gemma":0.6370076,"domain_scores_codex":[0.9995253,0.00008420394,0.00001101384,0.00002487851,0.0001479495,0.0002066329],"domain_scores_gemma":[0.9971992,0.0001695591,0.00009436303,0.00006918788,0.0007142643,0.001753344],"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":[0.00000806602,0.0000248459,0.0008281425,0.00004348489,6.683717e-7,0.00007720415,0.0001764043,0.000007523686,0.0001310494,0.0006783402,0.9751045,0.02291981],"study_design_scores_gemma":[0.000004510021,0.000006253656,0.002127917,0.00005854254,9.012733e-7,0.00004467698,0.0005091406,0.00000719193,0.00004426041,0.00008886986,0.9971043,0.000003379087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004102692,0.007651142,0.000237291,0.1260884,0.006096548,0.0002170568,0.002200351,0.0004643081,0.8529422],"genre_scores_gemma":[0.0094907,0.0071219,0.0008275023,0.01718507,0.0007482372,0.000130827,0.001154253,0.000208239,0.9631332],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7859555,"threshold_uncertainty_score":0.7260525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801085429647457,"score_gpt":0.264721783512437,"score_spread":0.2467109292159625,"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."}}