{"id":"W6930718923","doi":"10.5281/zenodo.14532487","title":"Microrhopala excavata","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heliantheae; Oleaceae; Eucalyptus; Helianthus annuus; Host (biology); Cocos nucifera","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":[0.0001400133,0.000581444,0.0002766066,0.001047265,0.001934964,0.000363902,0.0003864071,0.0003972731,0.02148253],"category_scores_gemma":[0.000359524,0.0002467624,0.000206649,0.0003412214,0.0007129666,0.0008402729,0.00175268,0.0006366898,0.004302146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912449,"about_ca_system_score_gemma":0.0004133817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363578,"about_ca_topic_score_gemma":0.01524886,"domain_scores_codex":[0.9998211,0.00001742735,0.00001155281,0.00007239727,0.00004612153,0.00003141411],"domain_scores_gemma":[0.9998928,0.0000217261,0.00003691951,0.00001426385,0.00001826596,0.00001600394],"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":[0.0005756578,0.0001639459,0.03656919,0.00160288,0.0001081168,0.007331585,0.00502588,0.00121679,0.06181563,0.02333462,0.04780237,0.8144532],"study_design_scores_gemma":[0.0001119217,0.0004580207,0.3725591,0.001010358,0.0001690962,0.01499169,0.004329002,0.0007325073,0.006401097,0.004890433,0.5942625,0.00008423327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4998246,0.009013519,0.006503962,0.0009889633,0.0004601761,0.0004195051,0.002023221,0.0009896557,0.4797764],"genre_scores_gemma":[0.9311876,0.00230257,0.00619726,0.0006738993,0.000188386,0.0001645602,0.0006745788,0.00007810709,0.05853298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02148253,"threshold_uncertainty_score":0.07186621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07741349722345725,"score_gpt":0.3898055660755395,"score_spread":0.3123920688520823,"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."}}