{"id":"W1520222795","doi":"","title":"Snooping around the Time-Bending Attic, Part 2","year":2002,"lang":"en","type":"article","venue":"et Cetera","topic":"Social Representations and Identity","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Art history; Library science; Classics; 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":["insufficient_payload"],"category_scores_codex":[0.0001536374,0.00005904981,0.00007256337,0.00002509888,0.000190218,0.0001070386,0.0001224244,0.00003698963,0.01600543],"category_scores_gemma":[0.00004767837,0.00004650289,0.00005790884,0.00009752469,0.00004025681,0.00008185756,0.0000318021,0.0001165867,0.005349139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001913057,"about_ca_system_score_gemma":0.000002830546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001470992,"about_ca_topic_score_gemma":0.00001735033,"domain_scores_codex":[0.9993543,0.0001265377,0.0001146864,0.000138964,0.00009763749,0.000167843],"domain_scores_gemma":[0.9995055,0.0001770038,0.000042031,0.000230451,0.00001727322,0.00002780526],"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":[0.00001178738,0.0002316338,0.02700766,0.000009182428,0.0002318175,0.00004126137,0.02570565,0.00002228798,0.0004542793,0.04978611,0.8531758,0.04332253],"study_design_scores_gemma":[0.0009691122,0.00007447229,0.1526456,0.00003669847,0.00006422081,0.00003575608,0.003609371,0.0007021486,0.00008649153,0.005311035,0.8360818,0.0003833019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5202313,0.0002849626,0.0001552862,0.003048378,0.001460926,0.0001405182,0.000004572367,0.00006075813,0.4746133],"genre_scores_gemma":[0.9465593,0.0000219051,0.00003959141,0.0009325587,0.0005521019,0.00002592607,0.000003960868,0.00001107865,0.05185365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4263279,"threshold_uncertainty_score":0.9954253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08494375089146375,"score_gpt":0.3747141996220646,"score_spread":0.2897704487306009,"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."}}