{"id":"W6912576334","doi":"10.5281/zenodo.5162636","title":"Cosmopepla conspicillaris","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Work (physics); Natural (archaeology); Period (music)","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":[0.0001312634,0.0006217056,0.0002301812,0.001582583,0.001948269,0.0003758517,0.0004125404,0.0003192903,0.01357887],"category_scores_gemma":[0.0002693222,0.0002156173,0.00009449829,0.0007603582,0.0005286439,0.0006979027,0.0008470567,0.0003862591,0.00234101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009612115,"about_ca_system_score_gemma":0.0004435143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03265435,"about_ca_topic_score_gemma":0.09282644,"domain_scores_codex":[0.9998771,0.00000906622,0.000007807144,0.00005895804,0.00002883619,0.00001822094],"domain_scores_gemma":[0.9998341,0.00002113501,0.00006662394,0.00001297713,0.00004625291,0.00001888757],"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":[0.0005222508,0.000233289,0.1283702,0.001113685,0.0001227188,0.003826619,0.003070772,0.001547757,0.06569894,0.01447737,0.05756802,0.7234483],"study_design_scores_gemma":[0.00004403618,0.0001229575,0.6876457,0.0003415364,0.00006270334,0.004185468,0.001323653,0.000384767,0.001714244,0.001129203,0.3030108,0.00003504638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5631198,0.009233263,0.003608327,0.0005242081,0.0002471141,0.0002496194,0.005361271,0.0009185727,0.4167379],"genre_scores_gemma":[0.9591492,0.001709765,0.003532243,0.0004543046,0.00009622641,0.0001309182,0.003000068,0.00003687576,0.03189036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03265435,"threshold_uncertainty_score":0.06492853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740483093845882,"score_gpt":0.2163407773341676,"score_spread":0.1789359463957088,"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."}}