{"id":"W6958376672","doi":"10.6084/m9.figshare.25345768.v1","title":"Data and Code","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Set (abstract data type); Data set; Code of practice","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":[0.003072011,0.002036357,0.001640231,0.003950338,0.001472638,0.002985967,0.003522105,0.002565901,0.1366969],"category_scores_gemma":[0.01685557,0.0009199953,0.001632819,0.005878362,0.0009318423,0.001529071,0.002515675,0.003219667,0.1193234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618511,"about_ca_system_score_gemma":0.003696023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282562,"about_ca_topic_score_gemma":0.03838155,"domain_scores_codex":[0.9976787,0.0004609832,0.0003178033,0.0008064847,0.000457908,0.0002781542],"domain_scores_gemma":[0.994377,0.002781449,0.0004346659,0.001059733,0.0009144751,0.00043263],"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":[0.0001081586,0.00003519178,0.001420523,0.0009472472,0.00005557186,0.00003021208,0.00004094116,0.001005465,0.0002040344,0.001108278,0.9917496,0.003294839],"study_design_scores_gemma":[0.0003656053,0.00002540334,0.003243196,0.0004573292,0.00007007608,0.00005313738,0.0001108491,0.0009130632,0.0004360197,0.005311496,0.9889601,0.0000537108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001038718,0.00003555616,0.0002593137,0.0000652324,0.00002583634,0.00003370263,0.9986172,0.0004828736,0.0003764885],"genre_scores_gemma":[0.0005771979,0.00006066836,0.001964808,0.0001576733,0.000009386114,0.0006085838,0.9954695,0.0003276999,0.0008244718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1366969,"threshold_uncertainty_score":0.4572966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749480218522929,"score_gpt":0.2656163270110523,"score_spread":0.218121524825823,"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."}}