{"id":"W2807582809","doi":"10.5220/0006964300230026","title":"Solar-Tracking Phone Charger","year":2018,"lang":"en","type":"article","venue":"3rd International Conference on Electromechanical Control Technology and Transportation","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phone; Computer science; Tracking (education)","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":[0.0001338178,0.0003154074,0.0003602918,0.0004932351,0.0006223883,0.0007246628,0.0008213127,0.0007437351,0.0206521],"category_scores_gemma":[0.0003065551,0.000169779,0.0002685456,0.0003820731,0.0001173204,0.0005042037,0.0004531384,0.0003291891,0.005961744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062014,"about_ca_system_score_gemma":0.0002658381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362953,"about_ca_topic_score_gemma":0.002281281,"domain_scores_codex":[0.9997545,0.00001873477,0.000006382159,0.00007639264,0.0001202243,0.00002372967],"domain_scores_gemma":[0.9997662,0.00002668132,0.00001390143,0.00004568575,0.0001223622,0.0000251518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001121747,0.0003389291,0.01365058,0.0003117576,0.00006130675,0.0009064483,0.0002849742,0.004368763,0.3264979,0.002717233,0.07375404,0.5759864],"study_design_scores_gemma":[0.0002880087,0.001455175,0.0425426,0.0001037497,0.0002740396,0.003406461,0.0005223859,0.186314,0.535158,0.001799936,0.2279882,0.0001473074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4672046,0.001877706,0.2546416,0.002118719,0.002680366,0.0006066068,0.003214714,0.03137113,0.2362845],"genre_scores_gemma":[0.8821511,0.0002270241,0.01302195,0.0008426145,0.0001470339,0.00006045654,0.0006458603,0.000238216,0.1026657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0206521,"threshold_uncertainty_score":0.0690881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460544534408281,"score_gpt":0.2629708021114113,"score_spread":0.2483653567673285,"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."}}