{"id":"W3175466524","doi":"10.4095/328076","title":"Des arbres virtuels pour reconstituer les variations climatiques : une approche basée sur les processus écophysiologiques","year":2021,"lang":"en","type":"report","venue":"","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008105445,0.0006300919,0.000889665,0.0001864412,0.0006004894,0.0003054865,0.0004943639,0.0007729118,0.005429699],"category_scores_gemma":[0.001560849,0.0004672714,0.0002666212,0.000559226,0.0003788756,0.0004818944,0.00006246012,0.0006743979,0.000156314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003491034,"about_ca_system_score_gemma":0.00268458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02950618,"about_ca_topic_score_gemma":0.03372568,"domain_scores_codex":[0.9968707,0.000246713,0.0007102139,0.0009023171,0.0006341856,0.0006358768],"domain_scores_gemma":[0.9968154,0.0008176079,0.0004913892,0.0004054793,0.001249306,0.0002208167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001115436,0.0002812992,0.1098388,0.01162989,0.0007828623,0.0002834557,0.001206612,0.002673892,0.0001684059,0.0007023672,0.08143632,0.7908846],"study_design_scores_gemma":[0.001442278,0.001764797,0.5116302,0.008818163,0.001552919,0.001140311,0.008697505,0.0312809,0.003771323,0.0685379,0.3537478,0.007615881],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07179568,0.0388311,0.01651873,0.00109029,0.001455582,0.001387354,0.0009495697,0.001161468,0.8668102],"genre_scores_gemma":[0.8928914,0.03654552,0.03183537,0.000331817,0.001741883,0.00006818563,0.003527629,0.00005879638,0.03299936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8338109,"threshold_uncertainty_score":0.9997779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002159241277354,"score_gpt":0.268777036744753,"score_spread":0.1685611126170175,"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."}}