{"id":"W4236137582","doi":"10.31234/osf.io/sha8c","title":"Temporal Landmarks","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000160851,0.0002016306,0.0002498823,0.0001123964,0.00003330227,0.0000529059,0.00024607,0.0004860223,0.08035643],"category_scores_gemma":[0.000007802187,0.0001755632,0.0001323303,0.00005888773,0.00002911643,0.00002630935,0.000159059,0.0003721957,0.0055545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000380647,"about_ca_system_score_gemma":0.00006853238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003688251,"about_ca_topic_score_gemma":0.000512723,"domain_scores_codex":[0.99887,0.00007863075,0.0002413693,0.0004669089,0.0001319169,0.0002112308],"domain_scores_gemma":[0.9989798,0.00002626275,0.0001002409,0.0007768481,0.00005782849,0.00005904054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001090515,0.0003495129,0.318734,0.0002184034,0.0003131511,0.00003774558,0.02077348,0.0001741141,0.00007117872,0.03491866,0.6166303,0.007670447],"study_design_scores_gemma":[0.001580921,0.0001000423,0.5703039,0.00005773699,0.0001303415,0.00004191312,0.003895544,0.0002939061,0.00001662535,0.004443727,0.4178795,0.001255857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1943025,0.0003824565,0.01018724,0.0002466302,0.006353537,0.0004958826,0.00006078177,0.0003064544,0.7876645],"genre_scores_gemma":[0.7537588,0.0000229784,0.000166568,0.0003447147,0.0007224118,0.00003216475,0.001163288,0.0000318479,0.2437572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5594563,"threshold_uncertainty_score":0.9952198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236628971501145,"score_gpt":0.3297946426294819,"score_spread":0.3061317454793674,"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."}}