{"id":"W4394435873","doi":"10.6084/m9.figshare.17217542","title":"Fort McKay South CH4 and CO2 mole fractions August 2019","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mole; Mole fraction; Geology; Archaeology; Chemistry; Geography; Physical chemistry; Organic chemistry","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":[0.000341088,0.001249061,0.000753164,0.001414353,0.0005700032,0.001383608,0.001736357,0.001072589,0.02655438],"category_scores_gemma":[0.001574564,0.0003489153,0.0006815692,0.003099522,0.0002461718,0.0008424938,0.0008803193,0.000801708,0.03188813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014503,"about_ca_system_score_gemma":0.00150534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150666,"about_ca_topic_score_gemma":0.2300728,"domain_scores_codex":[0.9997517,0.00002335143,0.00001732396,0.00009799911,0.00007066235,0.00003894668],"domain_scores_gemma":[0.9993155,0.00007399092,0.00006760209,0.0001385656,0.0003203504,0.00008405197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000684612,0.00001353282,0.002427288,0.0002657632,0.00003307251,0.00003376072,0.00002985978,0.0008446437,0.0001843518,0.0004233051,0.9930857,0.002590275],"study_design_scores_gemma":[0.0001481888,0.00001241382,0.01704215,0.0001425093,0.00002440788,0.00003786164,0.0001060927,0.001788604,0.000734721,0.000920417,0.9790061,0.00003646943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004110986,0.00003993118,0.00003188975,0.00004847647,0.00001695376,0.000003344927,0.998484,0.0002260731,0.0007383008],"genre_scores_gemma":[0.001530802,0.00004283207,0.0002586637,0.00002690522,0.000008562599,0.00002252217,0.9971159,0.00006192814,0.0009319311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8493341,"threshold_uncertainty_score":0.299578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114757217276427,"score_gpt":0.2148850526540753,"score_spread":0.2034093309264326,"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."}}