{"id":"W6925161364","doi":"10.1594/pangaea.915384","title":"Soilsurface temperatures in 2 cm depth between summer 2018 and 2019 with iButton-sensor 122 in Churchill, Canada","year":2020,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Transect; Interval (graph theory); Hydrology (agriculture); Air temperature; Latitude","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":[0.0004237411,0.00119735,0.0008293063,0.002387845,0.0009870976,0.001232113,0.001990972,0.0006634997,0.0116908],"category_scores_gemma":[0.002039334,0.0004069987,0.000585024,0.006331162,0.0003577685,0.0005314618,0.00107623,0.0008075994,0.01092951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006734472,"about_ca_system_score_gemma":0.01014636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9392365,"about_ca_topic_score_gemma":0.9773217,"domain_scores_codex":[0.9995092,0.00002242726,0.0000288131,0.0001274095,0.0001666323,0.0001455681],"domain_scores_gemma":[0.9983478,0.00006952541,0.0001107658,0.0001881847,0.001034212,0.0002494654],"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":[0.0001562291,0.00002789965,0.02301285,0.0004520382,0.00008071499,0.00009818186,0.000151674,0.001303857,0.0003264822,0.0005565559,0.9686033,0.00523012],"study_design_scores_gemma":[0.0002297192,0.0000202384,0.2422409,0.0005262159,0.00006205704,0.0001014118,0.0008897182,0.002325036,0.001305358,0.0005162001,0.75168,0.0001031888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00247971,0.00007780795,0.00006155374,0.00004974317,0.00001828776,0.000009310309,0.9958835,0.0001787554,0.001241251],"genre_scores_gemma":[0.004970124,0.00006381811,0.0002394781,0.00003562326,0.000005220555,0.00002697524,0.9930982,0.00004777185,0.001512834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06076348,"threshold_uncertainty_score":0.1222426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06541184562547618,"score_gpt":0.2911921204480493,"score_spread":0.2257802748225731,"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."}}