{"id":"W6911194988","doi":"10.5281/zenodo.10167337","title":"Oxypoda frigida Bernhauer 1907","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Willow; Litter; Deciduous; Betulaceae; Plant litter; 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":[0.0001862208,0.001479713,0.0003913612,0.002320089,0.001098295,0.000474576,0.0007261671,0.0005910007,0.03108315],"category_scores_gemma":[0.0004132217,0.0002347456,0.00018634,0.0007917846,0.0005895402,0.001527494,0.0006565418,0.000533671,0.01224161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008267786,"about_ca_system_score_gemma":0.0002977111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428912,"about_ca_topic_score_gemma":0.02194168,"domain_scores_codex":[0.9998606,0.00001269664,0.000009474269,0.00004860047,0.00003744852,0.00003121723],"domain_scores_gemma":[0.9998993,0.00001798987,0.00003639238,0.000007562725,0.00002537189,0.00001345266],"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":[0.0004569274,0.000168527,0.02046773,0.0009766772,0.00005880312,0.00176974,0.001296547,0.001611743,0.01930345,0.00863114,0.08610422,0.8591545],"study_design_scores_gemma":[0.00008026606,0.0002742626,0.1930827,0.0007794388,0.00007046176,0.00310052,0.0009905786,0.0006052572,0.001558997,0.002086704,0.797321,0.00004979315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1808604,0.04400665,0.006206566,0.001167969,0.001368996,0.0006779754,0.01095077,0.0009621584,0.7537984],"genre_scores_gemma":[0.7987922,0.01366504,0.007209823,0.0009693284,0.0008113136,0.0004171018,0.0103356,0.0001012746,0.1676984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03108315,"threshold_uncertainty_score":0.1039835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272358192658501,"score_gpt":0.2393759969583465,"score_spread":0.2066524150317615,"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."}}