{"id":"W4782742","doi":"","title":"Caractérisation de la dynamique saisonnière de l'hydrologie des tourbières minérotrophes du Moyen-Nord québecois, à l'aide de l'imagerie satellitaire multispectrale à très haute résolution spatiale.","year":2012,"lang":"fr","type":"article","venue":"Pediatrii︠a︡","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Humanities; Art; Cartography","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"],"consensus_categories":[],"category_scores_codex":[0.001859785,0.0005907465,0.000515893,0.000135157,0.0006587878,0.0003288302,0.0008612627,0.0007987986,0.0002623706],"category_scores_gemma":[0.002243481,0.0006640379,0.0003025298,0.0004509577,0.0007274599,0.001413653,0.0003555403,0.0007913876,0.0001024414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142398,"about_ca_system_score_gemma":0.0009705606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284161,"about_ca_topic_score_gemma":0.003728278,"domain_scores_codex":[0.9950618,0.001081872,0.0006583408,0.0007336829,0.0003353385,0.002128945],"domain_scores_gemma":[0.9969791,0.001070547,0.0004157111,0.0006785917,0.0002170924,0.0006390187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007074684,0.0006016914,0.9198015,0.0007341077,0.00009238795,0.0003387759,0.01173499,0.01750164,0.01297881,0.002841591,0.006556276,0.0267475],"study_design_scores_gemma":[0.001025511,0.0002694359,0.7455642,0.0001604177,0.00030028,0.001203075,0.0006808985,0.1793901,0.01750963,0.01493879,0.03765375,0.001303982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963564,0.01495881,0.1746792,0.009817516,0.0008315287,0.0003517255,0.00003408057,0.0003306608,0.002640052],"genre_scores_gemma":[0.93531,0.005051655,0.05415002,0.0002820184,0.003035183,0.00008783889,0.00003882734,0.00002783088,0.002016603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742373,"threshold_uncertainty_score":0.9995811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515513166509152,"score_gpt":0.2536741852374045,"score_spread":0.228519053572313,"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."}}