{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00605507,0.001618243,0.002313953,0.00385787,0.003528193,0.009090022,0.005436655,0.003139238,0.2007149],"category_scores_gemma":[0.01765612,0.001024056,0.002413263,0.00308578,0.002194714,0.009300874,0.0195474,0.003793349,0.1368328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110562,"about_ca_system_score_gemma":0.005749328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004617144,"about_ca_topic_score_gemma":0.004213675,"domain_scores_codex":[0.9907104,0.001568408,0.000554352,0.001422866,0.004215356,0.001528504],"domain_scores_gemma":[0.9783859,0.00106417,0.0004301774,0.01654871,0.002495175,0.00107599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009237518,0.0003833146,0.0008277671,0.0003156984,0.00007202894,0.0001844786,0.000362658,0.002842213,0.005309673,0.187642,0.4582318,0.3429047],"study_design_scores_gemma":[0.00009247264,0.00007660974,0.0003606886,0.0001024422,0.0000306566,0.0002280676,0.000120771,0.01207314,0.009188508,0.06924827,0.9083971,0.00008127968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008099108,0.0009183569,0.4357813,0.003082891,0.004435024,0.001255632,0.00953222,0.1067656,0.4301298],"genre_scores_gemma":[0.1712046,0.001274286,0.200318,0.002677283,0.001855145,0.001486112,0.04877344,0.04216594,0.5302451],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7992851,"threshold_uncertainty_score":0.6714582,"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."}}