{"id":"W2621081768","doi":"","title":"13 th International Workshop on Greenhouse Gas Measurements from Space - Book of Abstracts","year":2017,"lang":"en","type":"article","venue":"Työväentutkimus Vuosikirja","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Space (punctuation); Environmental science; Computer science; Geology; Operating system","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":[0.003750655,0.001399039,0.000942259,0.001510849,0.0007317666,0.004333405,0.002270436,0.00187997,0.05545741],"category_scores_gemma":[0.002425807,0.0005143061,0.001327682,0.001170589,0.0007418611,0.002688194,0.00366989,0.003321058,0.04196095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831733,"about_ca_system_score_gemma":0.003613322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00441911,"about_ca_topic_score_gemma":0.005018997,"domain_scores_codex":[0.9981474,0.0003233537,0.00007258359,0.0003246865,0.0008985998,0.0002334433],"domain_scores_gemma":[0.9979379,0.0002433905,0.00006610694,0.0002332421,0.001144235,0.0003751586],"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":[0.0002146913,0.00009896934,0.0003729308,0.0004229929,0.00004495804,0.0001665029,0.0001557049,0.001732514,0.004828524,0.01071931,0.8209991,0.1602438],"study_design_scores_gemma":[0.00001079907,0.00003776123,0.0004167955,0.000161586,0.000009113953,0.00005200108,0.00006592255,0.0005128122,0.001719045,0.0024633,0.9945346,0.00001612082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009194438,0.09434783,0.132622,0.03737148,0.1775489,0.001046105,0.014371,0.005735317,0.5277629],"genre_scores_gemma":[0.03528544,0.03744167,0.04125171,0.004531458,0.01418636,0.0006914816,0.01802718,0.003188328,0.8453963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05545741,"threshold_uncertainty_score":0.1855235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319192251267937,"score_gpt":0.2408301307097634,"score_spread":0.2176382081970841,"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."}}