{"id":"W6892540874","doi":"10.5281/zenodo.10167169","title":"Trichiusa robustula Casey","year":2023,"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":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Shore; Habitat; Moorland; Debris; Table (database); Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00009781413,0.0008525017,0.0003705987,0.002576047,0.001396983,0.000456875,0.0006858835,0.0006034919,0.06015822],"category_scores_gemma":[0.0004198026,0.0002895838,0.000434736,0.001174101,0.0005062087,0.001116202,0.001247092,0.0006454502,0.02363814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006586996,"about_ca_system_score_gemma":0.0003083531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00876251,"about_ca_topic_score_gemma":0.01800092,"domain_scores_codex":[0.9997846,0.00002368165,0.00002311009,0.00007316979,0.00006880795,0.0000265711],"domain_scores_gemma":[0.9998298,0.00002866653,0.00005935896,0.00002276246,0.00003323251,0.0000261191],"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":[0.0007805813,0.0003608218,0.01680079,0.00142226,0.00007535425,0.006059182,0.002154978,0.0007172044,0.06606742,0.004581733,0.06722274,0.8337569],"study_design_scores_gemma":[0.0001386784,0.0006514499,0.2101616,0.0005494845,0.0001626052,0.01860927,0.002130907,0.0008857074,0.007227603,0.001999932,0.7574149,0.00006784982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1912868,0.007312059,0.004812512,0.0009880161,0.001044143,0.0009835165,0.01058158,0.001280518,0.7817109],"genre_scores_gemma":[0.8304437,0.002974777,0.007039097,0.0009416739,0.0004181286,0.0003640578,0.006910985,0.000195386,0.150712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06015822,"threshold_uncertainty_score":0.2012493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326134906108929,"score_gpt":0.2266519743724222,"score_spread":0.1733906253113329,"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."}}