{"id":"W6962823767","doi":"10.17605/osf.io/ugfzx","title":"SharingToddlers Registration","year":2019,"lang":"ceb","type":"other","venue":"Open Science Framework","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Identification (biology); Process (computing); Feature (linguistics); Focus (optics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.002796931,0.0006270341,0.0007014746,0.0004665625,0.001044248,0.01084808,0.02846794,0.0006725604,0.00413481],"category_scores_gemma":[0.0007786817,0.0005533972,0.0001267725,0.003093393,0.0008489661,0.004392848,0.01295057,0.001184875,0.01199376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873626,"about_ca_system_score_gemma":0.00238213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007867795,"about_ca_topic_score_gemma":0.0000244329,"domain_scores_codex":[0.9928163,0.000115063,0.0006400681,0.00308331,0.002167138,0.00117818],"domain_scores_gemma":[0.9918997,0.0002209048,0.0009439936,0.006145611,0.0002797175,0.0005100932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002283497,0.0002273027,0.000348195,0.00008376255,0.00003133007,0.00004061214,0.001049708,0.0001651535,0.0003429148,0.595683,0.2244383,0.1775669],"study_design_scores_gemma":[0.0003266367,0.0002041707,0.001149232,0.002955326,0.00002084681,0.00002206281,0.0001215172,0.04859113,0.0001953876,0.01174957,0.9334987,0.001165368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003592072,0.0002850926,0.3502597,0.001060683,0.006446041,0.001387744,0.00003295546,0.00009191627,0.6403999],"genre_scores_gemma":[0.006117261,0.0002382214,0.3765293,0.001384745,0.0009378277,0.00005077809,0.00002803577,0.0001549411,0.6145589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7090605,"threshold_uncertainty_score":0.9996917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805406298458122,"score_gpt":0.3365731956166247,"score_spread":0.2985191326320435,"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."}}