{"id":"W2887328665","doi":"10.1109/access.2018.2863114","title":"Multimedia for Social Good: Green Energy Donation for Healthier Societies","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Overweight; Obesity; Life style; Energy (signal processing); Sedentary lifestyle; Gerontology; Psychology; Physical activity; Donation; Style (visual arts); Medicine; Applied psychology; Physical therapy; Political science; Geography; Mathematics","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":[0.0006942638,0.000559232,0.000220529,0.0006282724,0.0007005638,0.00111954,0.0006606083,0.0008794139,0.01173391],"category_scores_gemma":[0.001809231,0.000112744,0.0004011524,0.0003497682,0.0002815062,0.00154048,0.001756987,0.0005574564,0.002244972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231377,"about_ca_system_score_gemma":0.0003081685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004956524,"about_ca_topic_score_gemma":0.0009076172,"domain_scores_codex":[0.9996998,0.0001248116,0.0000123073,0.0000480907,0.00007457076,0.00004042581],"domain_scores_gemma":[0.9994324,0.000202863,0.00003849981,0.00008997296,0.0000880447,0.0001482449],"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":[0.0009752522,0.00173795,0.008426758,0.00121255,0.0001219766,0.000620403,0.003248519,0.002323996,0.05217289,0.01181818,0.07287636,0.8444651],"study_design_scores_gemma":[0.0007036858,0.00435267,0.05881815,0.0009541342,0.0006746119,0.001841194,0.004555297,0.08024672,0.06950471,0.06757639,0.7102951,0.0004773192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3977947,0.003231852,0.4055413,0.007913928,0.001617969,0.002564158,0.001963973,0.03535453,0.1440177],"genre_scores_gemma":[0.7962397,0.001275094,0.1501943,0.001950729,0.0005905872,0.001209336,0.001333816,0.0007609884,0.04644543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01173391,"threshold_uncertainty_score":0.03925389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07407975034505589,"score_gpt":0.3854781015291632,"score_spread":0.3113983511841073,"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."}}