{"id":"W6949741527","doi":"10.5281/zenodo.16421822","title":"Oeneis melissa","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Health and Social Services","funders":"","keywords":"Type locality; Extant taxon; Taxon; Type (biology); Single specimen; Range (aeronautics)","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":[0.0002341302,0.0003233165,0.000192997,0.0009331564,0.001208595,0.0005629092,0.000451432,0.0004365368,0.007362919],"category_scores_gemma":[0.0003642941,0.00009750551,0.0001908976,0.0004166152,0.0007718013,0.0005802441,0.0007012101,0.0004084469,0.002682377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008891332,"about_ca_system_score_gemma":0.0003655198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119168,"about_ca_topic_score_gemma":0.03826842,"domain_scores_codex":[0.999797,0.00001686909,0.00002342162,0.000062994,0.00006225131,0.00003739882],"domain_scores_gemma":[0.9998645,0.0000120668,0.00003479307,0.00002013071,0.00005326845,0.00001524924],"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":[0.000609583,0.0001596728,0.1247499,0.001077983,0.00002879327,0.006518541,0.004689496,0.0006105517,0.07665696,0.03110489,0.02265622,0.7311374],"study_design_scores_gemma":[0.00006322358,0.0004164455,0.3010685,0.000833169,0.00006005288,0.01391914,0.004637205,0.0004537385,0.01478359,0.003951581,0.6597477,0.00006577046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4599398,0.005750497,0.005658823,0.001658221,0.000924546,0.0005402986,0.002123454,0.0002852397,0.5231192],"genre_scores_gemma":[0.9092303,0.001104951,0.009068548,0.000959925,0.00008408707,0.0001338523,0.002079424,0.00003371314,0.07730506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0119168,"threshold_uncertainty_score":0.02463144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575184402167018,"score_gpt":0.1876609247688714,"score_spread":0.1719090807472012,"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."}}