{"id":"W6969844592","doi":"10.5281/zenodo.6915394","title":"Polia nimbosa","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Population; Boreal; Range (aeronautics); Taiga","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":[0.00005764401,0.0004585478,0.0002489613,0.001267254,0.001670043,0.0004791755,0.0001884263,0.00023923,0.01264547],"category_scores_gemma":[0.0002400777,0.0001441174,0.0001363899,0.0007439514,0.0004196813,0.0005330269,0.0009249966,0.0002649086,0.002859051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008378669,"about_ca_system_score_gemma":0.0003723052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240043,"about_ca_topic_score_gemma":0.04713961,"domain_scores_codex":[0.9999257,0.000007307268,0.000002981132,0.0000272688,0.00001608167,0.00002059441],"domain_scores_gemma":[0.9999415,0.000007493039,0.00002088728,0.000005687577,0.00001091961,0.00001349762],"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":[0.0008267289,0.0001774608,0.09323384,0.001472977,0.00008159767,0.004004254,0.00347599,0.00066501,0.1361007,0.01182172,0.01774335,0.7303962],"study_design_scores_gemma":[0.00004403924,0.0001447644,0.6121357,0.0004277985,0.00008621372,0.005152332,0.002033023,0.0004058167,0.003504155,0.001798454,0.3742403,0.00002742092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5143495,0.01331377,0.003825088,0.0007256143,0.000261606,0.0003000753,0.003790315,0.000633356,0.4628006],"genre_scores_gemma":[0.9646748,0.003803699,0.002122034,0.0003955151,0.00006372116,0.000116275,0.001582703,0.00004165702,0.0271995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240043,"threshold_uncertainty_score":0.04454011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016148644704073,"score_gpt":0.2128402022389018,"score_spread":0.1726787157918611,"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."}}