{"id":"W2040429085","doi":"10.1016/j.palaeo.2007.10.021","title":"Late-glacial chironomid-based temperature reconstructions for Lago Piccolo di Avigliana in the southwestern Alps (Italy)","year":2007,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preboreal; Younger Dryas; Holocene; Glacial period; Geology; Allerød oscillation; Physical geography; Climate change; Climatology; Oceanography; Paleontology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002323693,0.0002678595,0.0002274112,0.00111197,0.0002784087,0.0005168469,0.0003626831,0.0005081531,0.001239779],"category_scores_gemma":[0.0004756935,0.0002102452,0.0003646502,0.0007118271,0.0002696709,0.0002025925,0.0003044739,0.000180123,0.000431098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009031701,"about_ca_system_score_gemma":0.0003826341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08108182,"about_ca_topic_score_gemma":0.1651808,"domain_scores_codex":[0.9999316,0.00001199148,0.000005190631,0.00002690889,0.000006136331,0.00001824821],"domain_scores_gemma":[0.9998122,0.00003567415,0.0000557364,0.00002265544,0.00004073207,0.00003291162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005507504,0.00007242381,0.9586275,0.00008906701,0.0002073566,0.0002286973,0.0005208436,0.01500152,0.005310855,0.0001828862,0.001990945,0.01721712],"study_design_scores_gemma":[0.00002623232,0.000009965861,0.9940695,0.00001150995,0.00001996255,0.00002976443,0.00007591703,0.005176835,0.0000820156,0.00002121388,0.0004725166,0.000004609739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981301,0.0002009383,0.0001108727,0.00005290089,0.000006976019,0.00000203615,0.000934444,0.00003646952,0.0005252592],"genre_scores_gemma":[0.9986275,0.00004770884,0.0001901915,0.00001156261,0.00000706337,0.000003558697,0.0009332349,0.00000826958,0.0001709487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08108182,"threshold_uncertainty_score":0.1612197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304201033129341,"score_gpt":0.2477616945606428,"score_spread":0.2347196842293494,"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."}}