{"id":"W6906944134","doi":"10.18419/darus-2727/8","title":"Sorption.zip","year":2023,"lang":"en","type":"dataset","venue":"Universitätsbibliothek Stuttgart","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009400482,0.004256193,0.002532567,0.004304365,0.001272717,0.004176512,0.003605211,0.003169983,0.2601105],"category_scores_gemma":[0.006478932,0.0013428,0.001504296,0.007757794,0.0006422327,0.003488971,0.00298987,0.002213657,0.5217507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651726,"about_ca_system_score_gemma":0.001660925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01592802,"about_ca_topic_score_gemma":0.02559773,"domain_scores_codex":[0.9987256,0.000232776,0.0001023885,0.0004553243,0.0002460514,0.0002377588],"domain_scores_gemma":[0.9977724,0.0005929387,0.0001359422,0.0007752276,0.0004597471,0.0002637131],"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":[0.00005439159,0.0000166432,0.0001470048,0.0003410974,0.00001075045,0.000006978695,0.000009250878,0.0001355678,0.00005631567,0.0003222409,0.9970819,0.00181774],"study_design_scores_gemma":[0.0002005507,0.00002123736,0.0009026968,0.0001623332,0.00001506609,0.00003136722,0.00004930729,0.000511879,0.0002833528,0.001552353,0.9962438,0.00002607884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008381679,0.0001060619,0.00008432438,0.00008989785,0.00003981831,0.00001328099,0.9956416,0.001732194,0.002209057],"genre_scores_gemma":[0.0003696253,0.00009956946,0.0002392644,0.00008196612,0.0000128512,0.00004877059,0.9973238,0.0003279771,0.001496208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7398895,"threshold_uncertainty_score":0.8701564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572132415707931,"score_gpt":0.2712642954047818,"score_spread":0.2455429712477025,"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."}}