{"id":"W6949225882","doi":"10.5281/zenodo.13159032","title":"Dufourea Lepeletier","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sternum; Arthropod mouthparts; Apex (geometry); Keel; Dorsum; 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":[0.00009813177,0.0006096014,0.0002918816,0.001550118,0.002450212,0.000343936,0.0004662039,0.0004422817,0.02184887],"category_scores_gemma":[0.000338081,0.0002137247,0.0001478466,0.0004855396,0.0004986583,0.0007169706,0.0008280416,0.0004706059,0.002779428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803487,"about_ca_system_score_gemma":0.0003399404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03486496,"about_ca_topic_score_gemma":0.08047992,"domain_scores_codex":[0.9998758,0.00002004677,0.000009036859,0.00005198072,0.00002062427,0.0000225315],"domain_scores_gemma":[0.9998723,0.0000209584,0.00004466535,0.000007053772,0.00003184921,0.00002317791],"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":[0.0002968799,0.0001355482,0.07338484,0.001190105,0.00006104873,0.002244791,0.004512515,0.0004273226,0.03103893,0.004783349,0.03676347,0.8451613],"study_design_scores_gemma":[0.00004686751,0.0001989788,0.3572768,0.0007075923,0.00005308861,0.004307568,0.002954276,0.0002470502,0.001085586,0.001542206,0.6315478,0.00003226473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5232356,0.03295899,0.004485039,0.002608599,0.0009254293,0.0006575338,0.005112937,0.0007570623,0.4292588],"genre_scores_gemma":[0.9313754,0.004385639,0.005662701,0.001220554,0.0002228414,0.0001893315,0.001323169,0.00003931483,0.05558093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03486496,"threshold_uncertainty_score":0.07309169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181357965417304,"score_gpt":0.1981896718097015,"score_spread":0.1663760921555285,"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."}}