{"id":"W7104463167","doi":"10.71781/20527","title":"Suivre les changements : utilisation de l’intelligence artificielle pour identifier la biodiversité dans les tourbières du Québec","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature matching; Sugar industry","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006195307,0.000445769,0.0004147452,0.00004787322,0.0008203531,0.001072771,0.001316738,0.0006251065,0.04123405],"category_scores_gemma":[0.0003427532,0.0002205462,0.0002919747,0.0003203425,0.0003772633,0.0002540775,0.0004145825,0.0004122603,0.003863894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376044,"about_ca_system_score_gemma":0.0001589021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1078384,"about_ca_topic_score_gemma":0.3786395,"domain_scores_codex":[0.9975002,0.0003255196,0.0004910264,0.0008636778,0.0003135881,0.0005059788],"domain_scores_gemma":[0.9985921,0.0005768032,0.0003033386,0.0001234861,0.0002367459,0.0001674838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002246388,0.0003822759,0.03858255,0.00008527385,0.0002198712,0.0001375546,0.008867049,0.0000732347,0.2471201,0.0008665647,0.0110347,0.6924062],"study_design_scores_gemma":[0.000174442,0.0004608059,0.2212448,0.0005522873,0.0003850368,0.00001912296,0.1089674,0.001133568,0.09194496,0.0006053862,0.5735658,0.0009462966],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385626,0.002386614,0.00004040821,0.01179794,0.0006176069,0.0006744658,0.0003562803,0.00001094649,0.04555314],"genre_scores_gemma":[0.8601975,0.0005708038,0.0002517061,0.00009212875,0.0004552356,0.00004373966,0.0006923866,0.000004978555,0.1376915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.69146,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593085184078996,"score_gpt":0.2779520837955338,"score_spread":0.2020212319547439,"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."}}