{"id":"W6948945778","doi":"10.5281/zenodo.12405637","title":"Tshiluba dictionary pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Pretext; Nasalization; Gloom; Frame (networking); Limiting","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":[0.0006646512,0.00140369,0.001379744,0.00441617,0.002990546,0.01111623,0.003187111,0.002234173,0.9151002],"category_scores_gemma":[0.00489826,0.0008724449,0.0009779,0.004782745,0.001115843,0.008431347,0.004502642,0.00323156,0.8897646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361808,"about_ca_system_score_gemma":0.002988546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007223709,"about_ca_topic_score_gemma":0.01362285,"domain_scores_codex":[0.9989458,0.000065018,0.00006248995,0.000106122,0.0006912182,0.0001294748],"domain_scores_gemma":[0.9959949,0.0003611734,0.0001021652,0.0005343491,0.002307555,0.0006998371],"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":[0.00003429241,0.00002156213,0.00002753844,0.0001682184,0.000001377194,0.00005628041,0.00004884069,0.00002936569,0.0002547809,0.002143249,0.9580088,0.03920567],"study_design_scores_gemma":[0.000006647284,0.000007080169,0.00007335897,0.00005404279,0.000001192957,0.00004858652,0.00005138664,0.00002760217,0.0001544233,0.0004621524,0.9991066,0.000006967171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000217717,0.000537171,0.0009236608,0.0009035305,0.002025427,0.0001474155,0.008041468,0.004388661,0.9828148],"genre_scores_gemma":[0.001003588,0.0005153033,0.000625254,0.0004906367,0.0004068827,0.00006132578,0.005339254,0.002513912,0.9890438],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08489984,"threshold_uncertainty_score":0.1210994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975478702785037,"score_gpt":0.237333996054575,"score_spread":0.2075792090267247,"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."}}