{"id":"W6887705615","doi":"10.17605/osf.io/s46pm","title":"Predictions","year":2015,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Identification (biology); Set (abstract data type); Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.004684114,0.001771658,0.000927666,0.003855444,0.002417903,0.009107873,0.00348428,0.002784212,0.3426047],"category_scores_gemma":[0.02098357,0.0006278181,0.001506504,0.003408267,0.001567191,0.008038186,0.003561862,0.004225729,0.1991084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003878803,"about_ca_system_score_gemma":0.006601228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963326,"about_ca_topic_score_gemma":0.02078243,"domain_scores_codex":[0.9956911,0.0007491524,0.0001212211,0.0008146224,0.002055547,0.0005683595],"domain_scores_gemma":[0.9942663,0.001395062,0.0002753905,0.001695296,0.001774177,0.0005937377],"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":[0.00004512526,0.00003818822,0.0005536771,0.00007147698,0.00001221643,0.00002454473,0.00006051876,0.001192059,0.00008963425,0.3004522,0.6624172,0.03504323],"study_design_scores_gemma":[0.00002136684,0.000009312464,0.0007109829,0.0001290304,0.00001554653,0.00003605587,0.00009714293,0.005024776,0.0004930014,0.2176051,0.7758232,0.0000344586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001449702,0.0005146129,0.0254276,0.005310126,0.001326325,0.0001303342,0.02670498,0.007447531,0.9316888],"genre_scores_gemma":[0.08425644,0.001380635,0.02647138,0.0054595,0.001211515,0.0005378097,0.07293451,0.010215,0.7975333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6573954,"threshold_uncertainty_score":0.9376947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05142678647582172,"score_gpt":0.3855767293169391,"score_spread":0.3341499428411174,"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."}}