{"id":"W6930296324","doi":"10.5281/zenodo.12183874","title":"tous les pays du monde pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Nucleofection; Paraphernalia; Government (linguistics); Subject (documents)","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":[0.0006724144,0.0009500436,0.000810843,0.002154831,0.002164943,0.007564097,0.0008999055,0.001398819,0.8484436],"category_scores_gemma":[0.004039351,0.0004702574,0.0007320595,0.002425852,0.0005173203,0.003269455,0.002603308,0.00178406,0.6706166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908627,"about_ca_system_score_gemma":0.001765247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310639,"about_ca_topic_score_gemma":0.02299377,"domain_scores_codex":[0.9992531,0.00008079751,0.00002989876,0.000100528,0.0004001798,0.0001354764],"domain_scores_gemma":[0.9986457,0.0000951024,0.00006549901,0.0001683503,0.0005605341,0.0004648626],"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":[0.00003312676,0.0000134625,0.0001451966,0.000118246,0.000003544726,0.00005958571,0.00005166533,0.00002031912,0.0001302322,0.003578013,0.953281,0.04256549],"study_design_scores_gemma":[0.000002438379,0.000003055905,0.0003001226,0.00003157115,5.958439e-7,0.00002697235,0.00003291636,0.000004674489,0.00002986293,0.0001050278,0.9994605,0.000002330984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008094129,0.005155531,0.0002744857,0.002601753,0.005366638,0.00007375877,0.005939086,0.001440671,0.9783387],"genre_scores_gemma":[0.002986931,0.001957573,0.0002928607,0.0004127001,0.0006395774,0.00003902463,0.001637609,0.0006015687,0.9914321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1515564,"threshold_uncertainty_score":0.2161769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553484864706592,"score_gpt":0.2629757978844646,"score_spread":0.2374409492373987,"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."}}