{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006701731,0.0009802505,0.0009403159,0.01789281,0.0005211338,0.0003578639,0.002479916,0.0008632255,0.004520013],"category_scores_gemma":[0.000197424,0.001099917,0.0004925127,0.01447523,0.000395247,0.001196904,0.001209978,0.001238042,0.5398363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007466818,"about_ca_system_score_gemma":0.0005062268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223372,"about_ca_topic_score_gemma":0.001457365,"domain_scores_codex":[0.9950832,0.0002771755,0.0005126589,0.001383086,0.001486124,0.001257798],"domain_scores_gemma":[0.9959015,0.0003455411,0.0005298318,0.002433769,0.0003298655,0.0004595053],"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":[0.00009476296,0.0001726287,0.00001192535,0.000122151,0.000507189,0.0007096532,0.00003252883,0.0000330304,0.00004952155,0.0001486694,0.998076,0.00004200407],"study_design_scores_gemma":[0.001086595,0.0001128704,0.0001047138,0.0001708021,0.0005512148,0.00002942213,0.0002452147,0.00001303847,0.00001204382,0.0001472215,0.9963907,0.001136191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003067355,0.000132043,0.00001580537,0.0001965651,0.001804518,0.0006690305,0.9914533,0.001453031,0.004244992],"genre_scores_gemma":[0.000002207072,0.001244698,0.00006011142,0.0003414979,0.0007121373,0.00001385448,0.9723578,0.0002958903,0.0249718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5353163,"threshold_uncertainty_score":0.9991451,"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."}}