{"id":"W6894120928","doi":"10.5281/zenodo.7434042","title":"Nemophora bellela","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Selection (genetic algorithm); Point (geometry)","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":[0.00009980109,0.0005745435,0.0002634309,0.0009590124,0.00188635,0.0004209131,0.0003143879,0.0004110266,0.0162586],"category_scores_gemma":[0.0002945148,0.0001992604,0.00008504598,0.0005021818,0.000453179,0.001055484,0.0007973466,0.0004389388,0.004313051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536856,"about_ca_system_score_gemma":0.0003116314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208766,"about_ca_topic_score_gemma":0.0331177,"domain_scores_codex":[0.9998749,0.0000136092,0.000009819068,0.00004038064,0.00003206483,0.0000291884],"domain_scores_gemma":[0.9999088,0.00001496172,0.00002440232,0.000006752728,0.00003037637,0.00001462796],"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":[0.0005012164,0.0001698002,0.03587988,0.001112219,0.00003371116,0.002116403,0.002081334,0.0004835905,0.03457415,0.004910118,0.03305563,0.8850821],"study_design_scores_gemma":[0.00005922716,0.0002826702,0.4288993,0.001208201,0.0001045266,0.008669242,0.003028888,0.0005322944,0.004761052,0.002267837,0.5501381,0.00004862684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4206114,0.04000359,0.004238392,0.0008998855,0.0006078979,0.0002675686,0.003609683,0.0004698618,0.5292918],"genre_scores_gemma":[0.9463585,0.008887247,0.002549852,0.0006359757,0.0001207489,0.00008501267,0.001447413,0.00001995471,0.0398954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0162586,"threshold_uncertainty_score":0.05439043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299954863109737,"score_gpt":0.2062657836890051,"score_spread":0.1732662350579077,"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."}}