{"id":"W7080461791","doi":"10.5281/zenodo.16801034","title":"Metal-Organic Framework CH4@65bar Adsorbate Probability Distributions","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"APDS; Directory; Set (abstract data type); Field (mathematics); Extraction (chemistry); Binding energy; Data set","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":[0.0004165116,0.0006577267,0.0004681232,0.001080956,0.0003294858,0.000736418,0.0009718839,0.0005799248,0.02072038],"category_scores_gemma":[0.001280864,0.0002729709,0.001098683,0.001253335,0.0002171126,0.0008277044,0.0003629953,0.0005954697,0.002621253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278421,"about_ca_system_score_gemma":0.0005244561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387971,"about_ca_topic_score_gemma":0.009335953,"domain_scores_codex":[0.999625,0.00002700463,0.00001200295,0.0001157031,0.0001607235,0.00005946662],"domain_scores_gemma":[0.9996297,0.0001815318,0.00002397377,0.00004370312,0.0001080988,0.00001302412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00206359,0.000218145,0.02946757,0.002911733,0.0004857097,0.0005700736,0.0002108414,0.6489435,0.1480512,0.02676152,0.05712486,0.08319138],"study_design_scores_gemma":[0.000141921,0.0003298734,0.01765415,0.0000679529,0.0001497997,0.0002537657,0.0001743762,0.7135872,0.2206586,0.008088326,0.03874927,0.0001448264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6394719,0.001564389,0.1149805,0.0004848579,0.0001497685,0.0002602961,0.1860477,0.01199781,0.04504286],"genre_scores_gemma":[0.8985926,0.0008356805,0.01925962,0.0001148638,0.00002322789,0.000214866,0.07235528,0.001143281,0.00746063],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02072038,"threshold_uncertainty_score":0.06931663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265024154881929,"score_gpt":0.2443854146046296,"score_spread":0.2178829991164367,"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."}}