{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01021942,0.001126251,0.0008879013,0.003913569,0.004733315,0.007530972,0.003667188,0.001909881,0.207418],"category_scores_gemma":[0.01883579,0.0006579565,0.0006881534,0.003903362,0.001707534,0.00319666,0.006803777,0.002311383,0.09310127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009994057,"about_ca_system_score_gemma":0.04137187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2507633,"about_ca_topic_score_gemma":0.2602753,"domain_scores_codex":[0.9934266,0.00159132,0.0003354933,0.0008748583,0.002849063,0.0009227043],"domain_scores_gemma":[0.9776778,0.002603891,0.000643843,0.00340655,0.01126182,0.004406163],"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":[0.0008181746,0.0003194288,0.005156955,0.00112057,0.00006359593,0.0003494789,0.003166697,0.001047121,0.00277146,0.02601985,0.7336845,0.2254822],"study_design_scores_gemma":[0.0001013966,0.00009794426,0.003867953,0.000295263,0.00002028952,0.00012751,0.001272999,0.0008998528,0.0006898417,0.002602441,0.9899842,0.00004041623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04518586,0.003987149,0.1045199,0.02275455,0.003659023,0.008864186,0.1495171,0.03745156,0.6240608],"genre_scores_gemma":[0.0793834,0.002797988,0.1074154,0.004819502,0.000564801,0.007472486,0.1520639,0.01173464,0.6337479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2507633,"threshold_uncertainty_score":0.6938822,"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."}}