{"id":"W6892285777","doi":"10.5065/d61n7zv7","title":"French Falcon Isokinetic Evaporator Probe (IKP2) Data. Version 5.0b","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Falcon; Evaporator; Altitude (triangle); Water cooled; Instrumentation (computer programming)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979393,0.003512002,0.001627908,0.003514612,0.000940493,0.001876123,0.003481061,0.002730065,0.02745335],"category_scores_gemma":[0.003157746,0.0005934341,0.001704988,0.005045594,0.0005909495,0.001429217,0.00163717,0.001765758,0.05508142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091266,"about_ca_system_score_gemma":0.002336341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08871309,"about_ca_topic_score_gemma":0.131268,"domain_scores_codex":[0.9986243,0.0002020093,0.0001139162,0.0003972269,0.0004388021,0.0002237568],"domain_scores_gemma":[0.9985979,0.0002162011,0.0001031395,0.0003489719,0.0005962174,0.0001376393],"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":[0.0000555297,0.00003007465,0.0009690349,0.0003372471,0.00003976928,0.00003387768,0.00002204692,0.0006475502,0.0001917086,0.000251811,0.9944631,0.002958153],"study_design_scores_gemma":[0.0002142284,0.00003355794,0.01057276,0.0002549235,0.00004110342,0.000124814,0.0001186817,0.002044666,0.0009159705,0.001216562,0.9843928,0.00007007207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003937951,0.0001270589,0.0001375709,0.00006518402,0.0000293806,0.00001325524,0.9975501,0.001137255,0.0005464166],"genre_scores_gemma":[0.0005774864,0.00003605717,0.0003116326,0.00002826904,0.000006458582,0.00003470212,0.9985593,0.00009051876,0.0003556673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08871309,"threshold_uncertainty_score":0.1763934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05612606845634549,"score_gpt":0.2870040694672097,"score_spread":0.2308780010108643,"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."}}