{"id":"W4416598450","doi":"10.5256/f1000research.7359.d107489","title":"Amount of particles in the stream","year":2015,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007593847,0.003088135,0.002079171,0.00321872,0.0007874336,0.002249603,0.001882514,0.002149251,0.01135496],"category_scores_gemma":[0.004132166,0.0006816988,0.00233601,0.003192573,0.0004700795,0.001793869,0.00130346,0.001580347,0.02342478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114324,"about_ca_system_score_gemma":0.001566933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464549,"about_ca_topic_score_gemma":0.03462516,"domain_scores_codex":[0.9989004,0.0001089992,0.0001280692,0.0003760784,0.0003552301,0.0001311946],"domain_scores_gemma":[0.9989566,0.0002257712,0.00007998337,0.0002940136,0.000343863,0.00009970043],"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":[0.0005708337,0.0001582796,0.007759885,0.001032948,0.0002149662,0.00009382299,0.00005281889,0.003775138,0.001335656,0.0005160405,0.9629762,0.02151351],"study_design_scores_gemma":[0.001308437,0.0003205462,0.0510942,0.0006180782,0.0004571323,0.001046487,0.0003396691,0.0435456,0.01289374,0.004270583,0.8838508,0.0002547366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007446488,0.001197605,0.001167552,0.0003000767,0.0003497572,0.00005217352,0.9831217,0.004384383,0.00198029],"genre_scores_gemma":[0.007499265,0.0003450267,0.001626919,0.00009436661,0.00006074815,0.0000538552,0.9884315,0.0001595831,0.001728941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02464549,"threshold_uncertainty_score":0.04900408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322948832092001,"score_gpt":0.436399725133842,"score_spread":0.3041048419246418,"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."}}