{"id":"W6969528524","doi":"10.5281/zenodo.7257418","title":"Andrena (Truncandrena) ochraceohirta Alfken 1935","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brassicaceae; Silybum marianum; Sinapis; Weed; Gravitational microlensing","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":[0.0002532556,0.000747807,0.0004940171,0.001172654,0.001402777,0.0003692028,0.0006883682,0.0004677102,0.006745846],"category_scores_gemma":[0.0003590338,0.0002291278,0.0002279172,0.0005787533,0.0004425154,0.0008985799,0.0006674156,0.0005838742,0.003636104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000680746,"about_ca_system_score_gemma":0.0002759607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558115,"about_ca_topic_score_gemma":0.03608542,"domain_scores_codex":[0.9998125,0.00002538181,0.00001782011,0.00007544015,0.00004104709,0.00002780056],"domain_scores_gemma":[0.999818,0.00002617285,0.00007360694,0.00002558793,0.0000410987,0.0000154309],"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":[0.001166009,0.0003465296,0.04626129,0.001166307,0.0001848882,0.005362641,0.005689256,0.002645722,0.1266879,0.007049213,0.01385357,0.7895867],"study_design_scores_gemma":[0.000211365,0.0007373206,0.4466546,0.0005177778,0.0003356503,0.01114762,0.003285052,0.0007538553,0.009730961,0.002386207,0.5241559,0.00008370006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7038516,0.01806773,0.005821364,0.0006023382,0.000358999,0.0004887429,0.003874565,0.0007213683,0.2662131],"genre_scores_gemma":[0.9484044,0.004520926,0.004705844,0.0004018681,0.0001336457,0.0001050252,0.002343094,0.00003779149,0.03934736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558115,"threshold_uncertainty_score":0.03098094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284222514520365,"score_gpt":0.3278906696859001,"score_spread":0.1994684182338637,"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."}}