{"id":"W7017235104","doi":"","title":"Analyses multidisciplinaires des sédiments laminés de trois lacs profonds de la
\\nCôte-Nord du Québec pour reconstituer les variations
\\npaléoenvironnementales.","year":2020,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amphora; Fjord; Jetty; Indian ocean","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":[],"consensus_categories":[],"category_scores_codex":[0.0004451265,0.000549096,0.0003923949,0.002231193,0.001860369,0.001803236,0.0005561752,0.000447366,0.001838767],"category_scores_gemma":[0.0004189065,0.0002510041,0.0004432677,0.002728732,0.0005457506,0.000517822,0.0005245271,0.0003000034,0.0002873399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007896593,"about_ca_system_score_gemma":0.005909741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9318774,"about_ca_topic_score_gemma":0.9860204,"domain_scores_codex":[0.9996581,0.00001814058,0.00001167711,0.0001246621,0.0001114663,0.00007601131],"domain_scores_gemma":[0.9994704,0.00003336431,0.00008051429,0.00002023989,0.0003553433,0.00004015758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001440502,0.00005085651,0.8197919,0.0004013265,0.0004676325,0.0006128674,0.004200787,0.007602106,0.09173066,0.0009119858,0.001328685,0.07275712],"study_design_scores_gemma":[0.00000340698,0.00002607154,0.9824644,0.00004771469,0.00008908226,0.00006892638,0.001949052,0.00304036,0.003471298,0.0001149154,0.008709817,0.00001499139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826515,0.001362863,0.006101427,0.0001872864,0.00001825717,0.00005643554,0.002755757,0.00008620054,0.006780246],"genre_scores_gemma":[0.9826975,0.0006930158,0.006727534,0.00007789902,0.000009362689,0.00003513753,0.001687173,0.00004555433,0.00802661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06812263,"threshold_uncertainty_score":0.1370476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143151602329393,"score_gpt":0.352559413484494,"score_spread":0.2382442532515548,"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."}}