{"id":"W2785052974","doi":"10.2196/resprot.8900","title":"Activating Technology for Connected Health in Cancer: Protocol for a Research and Training Program","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cancer survivorship and care","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Universidad de Sevilla","keywords":"Protocol (science); Training (meteorology); Medical education; Computer science; Medicine; Psychology; Alternative medicine","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":[0.0620502,0.003454595,0.004086327,0.003817434,0.009450688,0.004314473,0.003731626,0.008697198,0.1150469],"category_scores_gemma":[0.05748638,0.00303204,0.004342747,0.003615544,0.003656602,0.004478809,0.005333905,0.01174792,0.03086551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116922,"about_ca_system_score_gemma":0.05115237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317091,"about_ca_topic_score_gemma":0.01018463,"domain_scores_codex":[0.9694619,0.01813904,0.005084489,0.001859651,0.002692998,0.002762075],"domain_scores_gemma":[0.9602869,0.01159934,0.003722106,0.006307117,0.01375345,0.004331027],"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":[0.06455506,0.03083829,0.004252613,0.08513096,0.0006935761,0.002588816,0.01529744,0.008763451,0.007716134,0.04030251,0.3536674,0.3861936],"study_design_scores_gemma":[0.06964344,0.01623342,0.0117118,0.03437342,0.0004294383,0.0005250275,0.008273237,0.003104615,0.005406917,0.02114859,0.8284749,0.0006751585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004272932,0.00007668284,0.001447018,0.0002644714,0.000155587,0.9954247,0.0008401586,0.00005454554,0.001309656],"genre_scores_gemma":[0.0002511386,0.00006780164,0.001721419,0.0001091863,0.00001440327,0.997371,0.00009720976,0.000003133595,0.0003647006],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1150469,"threshold_uncertainty_score":0.3848703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.619169724287023,"score_gpt":0.6964932853995428,"score_spread":0.07732356111251981,"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."}}