{"id":"W6950693416","doi":"10.5281/zenodo.5764133","title":"Marsdenia mayottae W. D. Stevens, Labat & Barthelat 2016, spec. nova","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Pedicel; Apex (geometry); Calyx; Bract; Petiole (insect anatomy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005496062,0.0001619115,0.0001488784,0.00008058559,0.001026522,0.0004504508,0.0009866204,0.00006902435,0.07671497],"category_scores_gemma":[0.0003418361,0.0001238562,0.00005383153,0.0002450868,0.0002650755,0.0003750915,0.000758404,0.0001237869,0.04541619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512968,"about_ca_system_score_gemma":0.000005989818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004776144,"about_ca_topic_score_gemma":2.028075e-7,"domain_scores_codex":[0.9983006,0.0002170016,0.0002263976,0.0004740201,0.0003552477,0.000426732],"domain_scores_gemma":[0.9987715,0.00003931005,0.000103642,0.0005196416,0.0003785459,0.0001873463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000769467,0.00006844429,0.000005179545,0.00001831337,0.00001057713,0.00001352904,0.00009252763,6.170159e-7,0.8295119,0.0005757975,0.1498129,0.01981333],"study_design_scores_gemma":[0.0004502919,0.0001040052,0.0004624201,0.00004917572,0.000006844604,0.00009736803,0.00005349898,0.000005318439,0.2353869,0.0002607174,0.7629426,0.000180903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6214675,0.0001475946,0.003781897,0.002887046,0.0005621364,0.0005184982,0.001067707,0.001485148,0.3680825],"genre_scores_gemma":[0.9899605,0.00003877389,0.000251027,0.0001080744,0.0003173128,2.864919e-8,0.0001612606,0.0005615882,0.008601455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6131297,"threshold_uncertainty_score":0.955327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03594670556928112,"score_gpt":0.2472013239014759,"score_spread":0.2112546183321947,"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."}}