{"id":"W6948470886","doi":"10.5281/zenodo.10167154","title":"Strigota ambigua","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","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":"Debris; National park; Habitat; Table (database); Floodplain; 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":[0.000166496,0.0005755266,0.0003520551,0.001805472,0.001322311,0.000389141,0.0005016756,0.0003380241,0.01751065],"category_scores_gemma":[0.0002282001,0.0001885807,0.0002184652,0.0008159819,0.0005793358,0.0007323139,0.0007058498,0.0004278742,0.007819677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366008,"about_ca_system_score_gemma":0.0002730685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929562,"about_ca_topic_score_gemma":0.04449144,"domain_scores_codex":[0.9998596,0.00001216625,0.00001383034,0.00006499225,0.00003580489,0.00001361068],"domain_scores_gemma":[0.9999256,0.00001085557,0.00002391924,0.000007749039,0.00002095218,0.00001082776],"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":[0.0004131074,0.0002546858,0.03331121,0.001169465,0.0001051236,0.003336634,0.00400197,0.001271487,0.02811933,0.007389499,0.04330187,0.8773257],"study_design_scores_gemma":[0.00008068726,0.0003657815,0.2894371,0.0006157439,0.0001383404,0.006265799,0.003005957,0.0009298723,0.00215411,0.00339338,0.6935627,0.00005056469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4403323,0.01772901,0.007226047,0.0009269075,0.001067549,0.0008028941,0.01400228,0.001350686,0.5165623],"genre_scores_gemma":[0.9036247,0.002817822,0.009994036,0.001504343,0.000266526,0.0002437593,0.01227922,0.00009467085,0.06917496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01929562,"threshold_uncertainty_score":0.05857897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508576613388634,"score_gpt":0.2533604643223042,"score_spread":0.1982746981884179,"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."}}