{"id":"W6906307300","doi":"10.17605/osf.io/bznvm","title":"Projet TRAP","year":2022,"lang":"fr","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trap (plumbing); Key (lock)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01450313,0.0003633676,0.0005529784,0.0002223506,0.002234,0.0002935145,0.002776302,0.0001412032,0.917582],"category_scores_gemma":[0.001617761,0.0004623447,0.0005349329,0.001121657,0.000751353,0.0006386154,0.004476276,0.001102778,0.7085829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006256449,"about_ca_system_score_gemma":0.0005479029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004443796,"about_ca_topic_score_gemma":0.0007697335,"domain_scores_codex":[0.9899529,0.004410062,0.0007851571,0.002594137,0.001256868,0.001000938],"domain_scores_gemma":[0.9951764,0.0006609264,0.0004292503,0.003222367,0.00008792616,0.0004231376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024935,0.002134423,0.03647194,0.0001713743,0.0007211787,0.000159549,0.04368478,0.004768933,0.001358722,0.1269923,0.3362699,0.4471643],"study_design_scores_gemma":[0.0003050527,0.000001726538,0.004471252,0.00004475727,0.0001860468,0.0000226295,0.004872718,0.001528096,0.0001754416,0.01128788,0.9766181,0.0004863446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05842634,0.00002594079,0.0006311919,0.008309681,0.001699088,0.0007910377,0.0002045765,0.0001295267,0.9297826],"genre_scores_gemma":[0.2781791,0.00041795,0.0007271009,0.0004708349,0.0003231576,0.0002750709,0.00006023717,0.0000405446,0.719506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6403481,"threshold_uncertainty_score":0.9997828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484116117371551,"score_gpt":0.2922005253218399,"score_spread":0.2673593641481244,"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."}}