{"id":"W6948979091","doi":"10.5281/zenodo.12151384","title":"Read online: La tresse","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural environment; Qualitative analysis; Daughter","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005615068,0.0008428624,0.0007580746,0.001195473,0.001559211,0.004766234,0.001132709,0.00203937,0.8700406],"category_scores_gemma":[0.002862967,0.000339455,0.0007152089,0.0006559864,0.0005390566,0.002382725,0.001658633,0.002262937,0.6927989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375375,"about_ca_system_score_gemma":0.001318593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004569208,"about_ca_topic_score_gemma":0.01214638,"domain_scores_codex":[0.9995876,0.00004464058,0.00001770005,0.00006151517,0.0002158617,0.00007253286],"domain_scores_gemma":[0.9989358,0.0001225346,0.0000374514,0.000104314,0.0005227014,0.0002773308],"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":[0.00007386999,0.00001574454,0.00006559533,0.000137536,0.000002913245,0.00009855349,0.00002905386,0.00001765683,0.0004215688,0.001045614,0.9715336,0.02655828],"study_design_scores_gemma":[0.00001021142,0.00001662206,0.0001944126,0.00004812954,0.000001373836,0.00005618093,0.00004146391,0.00001124101,0.0001733663,0.0002354337,0.9992067,0.0000048483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008880157,0.003366566,0.0008062721,0.009718386,0.02807737,0.0002339771,0.005374725,0.003745788,0.9477888],"genre_scores_gemma":[0.002323426,0.0009357806,0.0002998506,0.001694317,0.001512262,0.00003861548,0.001192206,0.0007356611,0.9912677],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1299594,"threshold_uncertainty_score":0.1853713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230547964113169,"score_gpt":0.2382574599605821,"score_spread":0.2152026635492651,"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."}}