{"id":"W4378213942","doi":"10.32920/23159876","title":"Planetarium: Visualized Goal Tracker in Your Pocket","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Productivity; Visualization; Computer science; Planetarium; Constructive; Human–computer interaction; Focus (optics); Multimedia; Process (computing); Artificial intelligence","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":[0.0004765256,0.001310667,0.0006695719,0.0009920856,0.0004995058,0.001980374,0.001208878,0.001267742,0.2616694],"category_scores_gemma":[0.002295171,0.0006520703,0.0005635701,0.0005703589,0.0002097123,0.002376241,0.002618646,0.001019333,0.08808822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589962,"about_ca_system_score_gemma":0.0005695435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102101,"about_ca_topic_score_gemma":0.004551423,"domain_scores_codex":[0.9997866,0.00003528602,0.0000123292,0.00004817226,0.00007005034,0.00004760309],"domain_scores_gemma":[0.9990641,0.0002212033,0.00004426809,0.0001950657,0.0001808303,0.0002944643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001401404,0.0003224538,0.001577527,0.0006234605,0.0000416994,0.0004075813,0.0005498783,0.0004278536,0.006253461,0.004446937,0.8237348,0.1602129],"study_design_scores_gemma":[0.0006144921,0.0003454141,0.008589857,0.0002862135,0.00005408255,0.0006436224,0.0004646955,0.01083443,0.00674581,0.009754878,0.9615017,0.0001648114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.02612841,0.00231652,0.1414318,0.003006234,0.001765139,0.001915798,0.0709751,0.4424769,0.3099841],"genre_scores_gemma":[0.2382628,0.002146976,0.2609223,0.00236166,0.0005016343,0.002880697,0.07729769,0.05163341,0.3639928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2616694,"threshold_uncertainty_score":0.8753715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113545130623504,"score_gpt":0.4325279851936488,"score_spread":0.3189828545701449,"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."}}