{"id":"W6887363529","doi":"10.1594/pangaea.548977","title":"(Page 2-97) Daily mean surface meteorology at station Fort Rae","year":2010,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Altitude (triangle); Hydrology (agriculture); Lapse rate","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":[0.0008473643,0.001422278,0.001176561,0.002954106,0.0004201522,0.002133909,0.001999604,0.00111443,0.1761304],"category_scores_gemma":[0.004666312,0.0007576972,0.0008601271,0.00638488,0.0001998469,0.001074286,0.001273351,0.001129673,0.1610344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259646,"about_ca_system_score_gemma":0.002129764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07091895,"about_ca_topic_score_gemma":0.1096244,"domain_scores_codex":[0.9993407,0.00006903545,0.0000885061,0.0001944947,0.0001558181,0.0001514466],"domain_scores_gemma":[0.9975164,0.0004400333,0.0003332943,0.0005143078,0.0009777501,0.0002182831],"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":[0.0000380385,0.000009531323,0.001103648,0.0002792006,0.000019917,0.00001011797,0.0000133269,0.0001602153,0.00004833085,0.0002318481,0.9967101,0.001375689],"study_design_scores_gemma":[0.0003738564,0.00001432407,0.01545045,0.000273958,0.00002740838,0.00002764491,0.00006361468,0.0003259761,0.0002507807,0.0005475292,0.9826167,0.00002757987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004930723,0.000006609975,0.00001394831,0.0000116739,0.000004883605,0.000002850204,0.9995708,0.00006512647,0.0002748593],"genre_scores_gemma":[0.0003571642,0.00001400329,0.00008403103,0.00001547845,0.000004259531,0.00003216034,0.998655,0.00006130271,0.0007765676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9290811,"threshold_uncertainty_score":0.5892148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05660430441372818,"score_gpt":0.3024603404767279,"score_spread":0.2458560360629997,"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."}}