{"id":"W6950360635","doi":"10.5281/zenodo.6263981","title":"Thinolestris nigra Grootaert & Evenhuis, sp. nov.","year":2006,"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":"Holotype; Intertidal zone; Range (aeronautics); Coastal zone","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":[0.0001917667,0.0008433592,0.000352472,0.001272258,0.001137739,0.0005521744,0.0008913504,0.0005295771,0.008695546],"category_scores_gemma":[0.0007678578,0.0002640734,0.00017807,0.0008464048,0.0006847238,0.001501722,0.0009398753,0.0008220836,0.003696449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103642,"about_ca_system_score_gemma":0.0004073329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083295,"about_ca_topic_score_gemma":0.0224507,"domain_scores_codex":[0.9997618,0.00002135754,0.00002814277,0.00009011271,0.00006582139,0.00003284878],"domain_scores_gemma":[0.9996176,0.00008588049,0.0001426582,0.00004384778,0.0000629666,0.00004712631],"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":[0.000588685,0.0002673843,0.07798491,0.001360193,0.0001724973,0.009468423,0.004779307,0.001667536,0.04737861,0.003351908,0.02482525,0.8281552],"study_design_scores_gemma":[0.0002223899,0.0005462421,0.6498207,0.001590068,0.0004259227,0.0229701,0.004552697,0.001849631,0.009228643,0.003480907,0.3051633,0.0001493635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6108218,0.01456669,0.008433464,0.001446129,0.001041118,0.00119731,0.008735826,0.001341822,0.3524159],"genre_scores_gemma":[0.9505894,0.004744461,0.01005287,0.001011677,0.0002258077,0.0004601857,0.004046844,0.00007413348,0.02879455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083295,"threshold_uncertainty_score":0.02908951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423546902244105,"score_gpt":0.1994963222101152,"score_spread":0.1752608531876741,"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."}}