{"id":"W4411032112","doi":"10.7202/1116179ar","title":"Des archives historiques pour documenter le climat du passé","year":2024,"lang":"fr","type":"article","venue":"Le climatoscope","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Art; Geography; Humanities","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005168121,0.0007926259,0.0004751713,0.01271962,0.006945061,0.00783497,0.001100235,0.001081666,0.03603945],"category_scores_gemma":[0.01383645,0.0005300844,0.0004645891,0.02245453,0.003319349,0.004443133,0.002832897,0.002324155,0.005619623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008049357,"about_ca_system_score_gemma":0.02426795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2570044,"about_ca_topic_score_gemma":0.3917804,"domain_scores_codex":[0.9962963,0.0009394404,0.0003681888,0.0004129635,0.001725409,0.0002576299],"domain_scores_gemma":[0.9837985,0.005113564,0.001836097,0.003421093,0.00506523,0.0007655416],"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":[0.0003179408,0.0001225863,0.07500278,0.005286934,0.0001738647,0.002301865,0.2443941,0.001651806,0.005763155,0.1455539,0.1509316,0.3684995],"study_design_scores_gemma":[0.000006452106,0.0000162628,0.029436,0.001201952,0.00004124942,0.0002783968,0.01605369,0.0001097091,0.0007789304,0.00261461,0.9494296,0.00003322528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1209778,0.08841359,0.01386841,0.02217667,0.004984383,0.0005211917,0.03685615,0.001750639,0.7104512],"genre_scores_gemma":[0.4977321,0.08814505,0.02805414,0.002046292,0.001701244,0.000600976,0.01775519,0.001122364,0.3628427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2570044,"threshold_uncertainty_score":0.511017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032904335034923,"score_gpt":0.2421516573028975,"score_spread":0.2218226139525482,"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."}}