{"id":"W6931714691","doi":"10.5281/zenodo.7872285","title":"Indoquedius recticollis","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Dorsum; Holotype; Abdomen; Scutellum; Seta","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005699139,0.0004731157,0.0002099643,0.001067139,0.0009268461,0.000241673,0.0003531718,0.0002547292,0.02128331],"category_scores_gemma":[0.000186614,0.0001175525,0.0001161768,0.0005633719,0.0004388869,0.0003182385,0.0006640235,0.0003049347,0.006052815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003698542,"about_ca_system_score_gemma":0.0001953436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006659131,"about_ca_topic_score_gemma":0.0193952,"domain_scores_codex":[0.9999011,0.00001159473,0.000007856816,0.00003703909,0.00002455394,0.00001786513],"domain_scores_gemma":[0.9999269,0.000009212956,0.00002902054,0.00001076981,0.00001426443,0.000009834911],"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":[0.001125283,0.0001847177,0.09740566,0.001792812,0.00009205096,0.002351614,0.003527409,0.001212776,0.08741057,0.007768645,0.02838703,0.7687415],"study_design_scores_gemma":[0.00005689816,0.0002488452,0.471879,0.0003460452,0.00007883843,0.008798894,0.001596085,0.0006942988,0.007110144,0.0008086856,0.5083299,0.00005238771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4597978,0.005717967,0.004640498,0.0003242091,0.000277246,0.000208483,0.005023365,0.0007848248,0.5232256],"genre_scores_gemma":[0.9512004,0.0008769794,0.00343388,0.0001947634,0.00004698564,0.0000541991,0.002395436,0.00005503508,0.04174224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02128331,"threshold_uncertainty_score":0.07119972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814515903804957,"score_gpt":0.2921415465389668,"score_spread":0.2439963875009173,"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."}}