{"id":"W6930136533","doi":"10.5281/zenodo.11879519","title":"formulaire imm 5707 pdf télécharger","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research methodology; Health services","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":[0.0008522333,0.001436794,0.00115502,0.002324688,0.001400302,0.005118901,0.002421439,0.00239671,0.9507114],"category_scores_gemma":[0.004868221,0.0008885374,0.0008505823,0.001351337,0.000568253,0.003795653,0.002519644,0.001971212,0.9219682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225941,"about_ca_system_score_gemma":0.001289418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062353,"about_ca_topic_score_gemma":0.003769027,"domain_scores_codex":[0.9990823,0.00006095565,0.0000393003,0.00011397,0.000595536,0.0001079072],"domain_scores_gemma":[0.9973757,0.0002793018,0.00007291237,0.0002753453,0.001471084,0.0005256785],"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":[0.00008492076,0.00007670781,0.00004268802,0.0001599866,0.000002411936,0.00004545996,0.00002871417,0.00004249816,0.001165517,0.001010282,0.9429502,0.05439058],"study_design_scores_gemma":[0.00003288648,0.00005461047,0.0002067825,0.00006066421,0.000004105488,0.00007923212,0.00004357927,0.0000861913,0.0007233364,0.0004643559,0.9982343,0.00001002488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003738685,0.0003283526,0.001296697,0.0006289731,0.001753272,0.0002596308,0.002582579,0.005505837,0.9872708],"genre_scores_gemma":[0.001313061,0.0001991317,0.0004654163,0.0003313273,0.0002144249,0.00007964447,0.001115914,0.001384762,0.9948964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04928857,"threshold_uncertainty_score":0.07030416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962290153141349,"score_gpt":0.2726634861226052,"score_spread":0.2530405845911917,"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."}}