{"id":"W6912693649","doi":"10.5281/zenodo.7837062","title":"Melanoplus sanguinipes subsp. sanguinipes","year":2023,"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":"","funders":"","keywords":"Subspecies; Population; Arid; Habitat; Tundra","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":[0.0001005498,0.0004350996,0.0001524492,0.0009491176,0.0002883526,0.0002136888,0.0001594898,0.00009893654,0.00522744],"category_scores_gemma":[0.0001712176,0.00009896315,0.000141661,0.0004783371,0.000111061,0.0002372516,0.0005308176,0.0001076237,0.001343943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997341,"about_ca_system_score_gemma":0.00006670736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007653957,"about_ca_topic_score_gemma":0.0287766,"domain_scores_codex":[0.9999429,0.000007423233,0.000006414416,0.00001875568,0.00001215892,0.00001232577],"domain_scores_gemma":[0.9999291,0.000007268704,0.00002760617,0.000007308868,0.00001250231,0.00001621138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003242051,0.000125283,0.4794772,0.0004758381,0.0002339303,0.0007540748,0.001413297,0.0003359199,0.1235612,0.0007206417,0.005928493,0.3866498],"study_design_scores_gemma":[0.000006268022,0.00008238897,0.97847,0.00003264966,0.00004506344,0.001096686,0.0002592822,0.000166625,0.001129578,0.0001134469,0.01859003,0.000007956128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624159,0.002395421,0.0007972915,0.00007443742,0.000038177,0.00005476609,0.001963897,0.0002245326,0.0320355],"genre_scores_gemma":[0.9911293,0.0007975008,0.001157509,0.00007196198,0.00001735501,0.00002832773,0.0009865446,0.0000215775,0.005789959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007653957,"threshold_uncertainty_score":0.01748753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803281637485409,"score_gpt":0.2141173281662366,"score_spread":0.1860845117913825,"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."}}