{"id":"W6968915765","doi":"10.5281/zenodo.6249411","title":"Grammia behrii Stretch","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synonym (taxonomy); Taxon; Type (biology); Entomology; Taxonomy (biology)","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":[0.0001640172,0.0003296344,0.0002163389,0.001047805,0.001156496,0.0005078016,0.0004575845,0.0002781463,0.005776025],"category_scores_gemma":[0.0002760692,0.0001408178,0.0001311529,0.0006884703,0.0005609099,0.000947792,0.0008683942,0.0007861875,0.002082007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526706,"about_ca_system_score_gemma":0.0004484859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180375,"about_ca_topic_score_gemma":0.0246601,"domain_scores_codex":[0.9997439,0.00002737169,0.00001994102,0.00008942222,0.00007616202,0.00004331304],"domain_scores_gemma":[0.9998661,0.00001103656,0.00005017267,0.00001831396,0.00004085082,0.00001346123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000228194,0.00004746466,0.0235644,0.0006999796,0.00004505304,0.001413582,0.004732818,0.0005173286,0.02163867,0.009373317,0.03281276,0.9049263],"study_design_scores_gemma":[0.0000316163,0.0001779274,0.1917845,0.000346235,0.00006848334,0.00719372,0.001995842,0.0005978036,0.003238874,0.001602876,0.7929199,0.00004224346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5056838,0.0516922,0.009821459,0.002603124,0.00140611,0.0004225959,0.003300377,0.001374914,0.4236956],"genre_scores_gemma":[0.9271351,0.009375575,0.01079591,0.001091016,0.0004376659,0.00008196088,0.002723272,0.00008789689,0.04827159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180375,"threshold_uncertainty_score":0.0234701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050369390587662,"score_gpt":0.2370894536316602,"score_spread":0.1965857597257836,"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."}}