{"id":"W646902363","doi":"10.71781/20474","title":"Une phylogénie du grade des Caesalpinieae inférée à partir de marqueurs nucléaires et chloroplastiques","year":2009,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Humanities; Philosophy","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0001717276,0.0004826311,0.0005993682,0.0001596686,0.002393787,0.0000540426,0.0002499438,0.0007308708,0.00004773487],"category_scores_gemma":[0.0001578692,0.000443807,0.000383874,0.0003113299,0.0004502997,0.0001448668,0.00006701393,0.0006685483,0.00001834657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620869,"about_ca_system_score_gemma":0.001173062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655914,"about_ca_topic_score_gemma":0.006488969,"domain_scores_codex":[0.9979553,0.0001196261,0.0003925349,0.0005710034,0.0004261704,0.0005353494],"domain_scores_gemma":[0.9985367,0.0001203908,0.0002881345,0.0003080114,0.0002685298,0.0004782194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0140343,0.003342673,0.150246,0.001794764,0.002012323,0.01841381,0.0535844,0.0006298831,0.6449567,0.04025269,0.0189068,0.05182564],"study_design_scores_gemma":[0.002079313,0.0007993464,0.8096438,0.0009468198,0.0006982815,0.001480835,0.006705103,0.0001993026,0.09027404,0.005302514,0.08092558,0.0009450554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533495,0.009026729,0.00006559465,0.001199857,0.0002433354,0.000395709,0.0000548126,0.0001998958,0.03546462],"genre_scores_gemma":[0.9853523,0.002296006,0.0008082982,0.0006719069,0.0002999903,0.00003230574,0.00108705,0.00003548411,0.009416665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6593978,"threshold_uncertainty_score":0.9998014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008868869178623768,"score_gpt":0.2144243355022871,"score_spread":0.2055554663236633,"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."}}