{"id":"W6961112589","doi":"10.14291/tccon.ggg2020.eureka01.r0","title":"TCCON data from Eureka (CA), Release GGG2020.R0","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; The Scarborough Hospital; Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Atmosphere (unit); Column (typography); Spectrometer; Carbon fibers; Water column; Absorption (acoustics); Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006969134,0.00169757,0.001135084,0.001876581,0.0006407297,0.001862192,0.002380446,0.001381613,0.03341898],"category_scores_gemma":[0.002986904,0.0006420696,0.001050482,0.004839594,0.0003035381,0.00101469,0.001146183,0.001308618,0.04757047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963569,"about_ca_system_score_gemma":0.003652185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1949139,"about_ca_topic_score_gemma":0.2386395,"domain_scores_codex":[0.9993632,0.00007837436,0.00006142012,0.0002011221,0.0001439221,0.0001518265],"domain_scores_gemma":[0.9989806,0.0001366114,0.00009487644,0.0002622644,0.0004055432,0.0001200518],"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":[0.00006440689,0.00001707679,0.001290189,0.0002993284,0.00005133183,0.00002252213,0.00002136868,0.0008174023,0.0001747361,0.0004526164,0.9952018,0.00158721],"study_design_scores_gemma":[0.0002588706,0.000009372414,0.008177373,0.0002005428,0.0000509484,0.0000336627,0.0000731178,0.001738269,0.0005872406,0.001253374,0.9875788,0.0000382892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000158787,0.00002963539,0.00004367806,0.0000240714,0.000009284495,0.000004503664,0.9992146,0.0001943562,0.0003209787],"genre_scores_gemma":[0.0003377565,0.00002122035,0.0001662742,0.00001679483,0.00000211439,0.00002020672,0.9990067,0.00006932559,0.0003596202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8050861,"threshold_uncertainty_score":0.3875588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895984876911717,"score_gpt":0.3640738475994735,"score_spread":0.1744753599083018,"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."}}