{"id":"W6948226010","doi":"10.48597/r2nq-526m","title":"Measurement of Particle_number_size_distribution at London - North Kensington","year":2024,"lang":"en","type":"dataset","venue":"EBAS","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Period (music)","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":[0.0008262041,0.001959709,0.001419327,0.003342351,0.0007213252,0.002042657,0.002068976,0.001886904,0.05202814],"category_scores_gemma":[0.004873815,0.0008006258,0.001073401,0.006628859,0.000369907,0.001187175,0.001683104,0.001071925,0.07164019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172939,"about_ca_system_score_gemma":0.002495367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312157,"about_ca_topic_score_gemma":0.2034379,"domain_scores_codex":[0.9991928,0.00007544251,0.00007821591,0.000275987,0.0002315106,0.0001460215],"domain_scores_gemma":[0.9977096,0.00054315,0.0002904576,0.0004404849,0.0007825755,0.0002337131],"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":[0.00006411471,0.00001632546,0.004153273,0.0006179329,0.00005788769,0.00002424386,0.00005480142,0.000532175,0.0001817685,0.0003896933,0.9909328,0.002974935],"study_design_scores_gemma":[0.0001961741,0.00001280227,0.0369214,0.0003968285,0.00006276551,0.0000436456,0.0001794958,0.0007461384,0.0008713003,0.001055428,0.9594406,0.00007346679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002475346,0.00003343189,0.00004955897,0.00002327805,0.000007579037,0.000004553308,0.9988949,0.0001583298,0.0005809575],"genre_scores_gemma":[0.0009151819,0.00005037395,0.0003389188,0.00003077777,0.000004889454,0.00006195321,0.9972913,0.00008535808,0.001221179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1312157,"threshold_uncertainty_score":0.2609038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159861825801424,"score_gpt":0.1954234622937529,"score_spread":0.1538248440357387,"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."}}