{"id":"W4233866982","doi":"10.32920/ryerson.14638287","title":"The Mobile Experience at Ryerson","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000422787,0.00009638811,0.00008136973,0.000009300713,0.0002237264,0.0001709647,0.0001165685,0.00004292457,0.002055081],"category_scores_gemma":[0.000001278265,0.0000611279,0.00009036947,0.00003768755,0.00003838873,0.00004398048,0.000299468,0.0001146345,0.00005748266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002701622,"about_ca_system_score_gemma":0.00004352868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008336356,"about_ca_topic_score_gemma":0.00002863218,"domain_scores_codex":[0.9994596,0.0000268109,0.0001057592,0.0001921713,0.0001169371,0.00009875035],"domain_scores_gemma":[0.9995057,0.00002588229,0.00007213313,0.0003142162,0.00005044753,0.00003160989],"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":[0.00008359899,0.00061539,0.1274204,0.00009105709,0.000790151,0.000007179515,0.1068283,0.049147,0.01475305,0.2067656,0.133125,0.3603733],"study_design_scores_gemma":[0.0008815163,0.00004987219,0.01087567,0.0001544297,0.00006651933,0.000001403291,0.1675356,0.03624699,0.1272258,0.007593044,0.6478143,0.001554855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172875,0.0003290373,0.01807933,0.0008316421,0.001709492,0.0004449872,0.000005196492,0.00006470053,0.06124817],"genre_scores_gemma":[0.9662405,0.0000130752,0.0002179012,0.00002261554,0.0002865366,0.0002446344,0.0001134794,0.000008130736,0.03285309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5146894,"threshold_uncertainty_score":0.9988572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563029909241688,"score_gpt":0.2771692892001026,"score_spread":0.2615389901076857,"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."}}