{"id":"W3211837876","doi":"10.51224/cik.v1i2.37","title":"Let’s build an app for that","year":2021,"lang":"en","type":"article","venue":"Communications in Kinesiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Usability; Personalization; Process (computing); Psychological intervention; Computer science; Promotion (chess); Multidisciplinary approach; Psychology; Medical education; Medicine; World Wide Web; Human–computer interaction; Nursing","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":[0.002175596,0.002013195,0.000914361,0.001498276,0.002268184,0.00448736,0.002189103,0.006353836,0.07124177],"category_scores_gemma":[0.01477503,0.0007655552,0.002291913,0.0005158421,0.001581447,0.01044328,0.003437137,0.003838103,0.08236564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695211,"about_ca_system_score_gemma":0.001241587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128065,"about_ca_topic_score_gemma":0.003011809,"domain_scores_codex":[0.9980093,0.0004173027,0.0001482243,0.0003297225,0.0008037455,0.0002916834],"domain_scores_gemma":[0.9955887,0.001129256,0.0001820777,0.0006376128,0.001901036,0.0005613866],"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":[0.0002581811,0.000519382,0.002177787,0.001847482,0.0000837449,0.0008559105,0.002262572,0.0002259351,0.003401393,0.004663291,0.66583,0.3178743],"study_design_scores_gemma":[0.00007375328,0.0003178313,0.001868886,0.00163277,0.0001045228,0.001717898,0.001284957,0.0004784957,0.001835382,0.006294085,0.9842259,0.0001653022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02442474,0.02327954,0.1991225,0.1407683,0.05721067,0.007499695,0.006356249,0.06226464,0.4790737],"genre_scores_gemma":[0.09026334,0.01997367,0.3603993,0.1088932,0.007680975,0.004712599,0.00538941,0.007947664,0.3947398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07124177,"threshold_uncertainty_score":0.2383274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2286014146053592,"score_gpt":0.529444071031856,"score_spread":0.3008426564264968,"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."}}