{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015767,0.0006914364,0.0002539706,0.00160199,0.001496304,0.0004767771,0.0004179527,0.0003599749,0.01402709],"category_scores_gemma":[0.0003342407,0.0002571912,0.0001923118,0.0009299075,0.0004315171,0.0008729442,0.0004976981,0.0004261697,0.007624279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584199,"about_ca_system_score_gemma":0.0005952797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1405372,"about_ca_topic_score_gemma":0.2447041,"domain_scores_codex":[0.9998506,0.000007137269,0.000009577993,0.00004728457,0.00006114704,0.00002424743],"domain_scores_gemma":[0.9998118,0.0000176899,0.00006551424,0.00001289867,0.00007393483,0.00001820742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001661778,0.00009720651,0.04038197,0.000484898,0.00005333502,0.002362783,0.00123694,0.0006654384,0.01232181,0.003898903,0.1024044,0.8359262],"study_design_scores_gemma":[0.00003340027,0.0001198011,0.2322177,0.0004929783,0.00005444968,0.003922043,0.001126077,0.0003389444,0.003360407,0.001013687,0.7572955,0.00002494096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2081496,0.03169013,0.004976488,0.001645681,0.001979036,0.0005369351,0.0106182,0.0007095936,0.7396943],"genre_scores_gemma":[0.670813,0.01436929,0.005847242,0.001296616,0.0004046735,0.0001517552,0.007074788,0.00007254096,0.2999701],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1405372,"threshold_uncertainty_score":0.2794383,"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."}}