{"id":"W7006970719","doi":"","title":"Why This App? How User Ratings, App Store Rankings, and Other App Store Information Impact Educators' Selection of Educational Apps","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Smartphone app; Mobile apps; Information system","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":[0.002966963,0.0002343936,0.0002336067,0.001115507,0.001228739,0.008754023,0.0004220689,0.0009251636,0.01330941],"category_scores_gemma":[0.03528053,0.0002992763,0.0003530161,0.000924276,0.0005422666,0.005465769,0.000970159,0.001111243,0.004694478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007481733,"about_ca_system_score_gemma":0.001169467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01607776,"about_ca_topic_score_gemma":0.03625678,"domain_scores_codex":[0.998089,0.0005330752,0.00008135147,0.0002458845,0.0008509157,0.0001996546],"domain_scores_gemma":[0.9783984,0.01176907,0.001968237,0.0007027585,0.005588786,0.001572838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005660496,0.0009144616,0.6100378,0.0002141261,0.0001810209,0.0003339342,0.01280551,0.0003929839,0.002444433,0.002814456,0.06651559,0.3027796],"study_design_scores_gemma":[0.00006830046,0.0004081525,0.904798,0.0003377768,0.0004945088,0.0005866035,0.02974109,0.006666063,0.003410424,0.003265543,0.05007225,0.0001512329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943416,0.000974349,0.002452911,0.009683759,0.0002257038,0.0001490517,0.0009390131,0.0004545515,0.09077905],"genre_scores_gemma":[0.9754263,0.0004826138,0.001944752,0.00106792,0.0000578576,0.00003351007,0.0003281691,0.0001879495,0.02047089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607776,"threshold_uncertainty_score":0.04452443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006966663009438505,"score_gpt":0.2383559917484693,"score_spread":0.2313893287390308,"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."}}