{"id":"W6931303374","doi":"10.5281/zenodo.6869631","title":"Sorex maritimensis R. W. Smith 1939","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrew; Sorex; Subgenus; Swamp; Holotype; Range (aeronautics)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001396731,0.00008737709,0.0001087404,0.0001704036,0.006371696,0.0006892596,0.0007279104,0.00006523935,0.06713767],"category_scores_gemma":[0.0009618558,0.00009609491,0.00006011476,0.0007535951,0.0007919256,0.0002077659,0.0002972649,0.0001466989,0.0168081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799072,"about_ca_system_score_gemma":0.0000154735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603683,"about_ca_topic_score_gemma":0.00006366265,"domain_scores_codex":[0.9981136,0.0005859527,0.0001834232,0.0003276389,0.0004392655,0.0003501456],"domain_scores_gemma":[0.998481,0.00003826048,0.0000645126,0.0003555733,0.0008645463,0.0001960475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005767874,0.0002967107,0.00005471352,0.00004016611,0.0001063428,0.000007709104,0.02219345,0.00002531881,0.0006297952,0.04607463,0.5041348,0.4263787],"study_design_scores_gemma":[0.0001496126,0.00009234594,0.0005354185,0.00001183035,0.00001754749,0.000002241856,0.002003939,0.0003565621,0.0001258794,0.0007057975,0.9958786,0.0001201913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03189729,0.00007406088,0.007030622,0.004563357,0.0001348694,0.0004154538,0.00008220803,0.001148858,0.9546533],"genre_scores_gemma":[0.9926235,0.00005453056,0.0001687478,0.0003191948,0.0005066843,2.742532e-8,0.0002555076,0.0003642259,0.005707548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9607263,"threshold_uncertainty_score":0.9949219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792603294837502,"score_gpt":0.2854947855718438,"score_spread":0.2475687526234688,"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."}}