{"id":"W4246539510","doi":"10.1063/1.4895118.1","title":"10.1063/1.4895118.1","year":2014,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aerosol; Supercooling; Evaporation; Trapping; Materials science; Particle (ecology); Optical tweezers; RADIUS; Micrometer; Hexadecane; Trap (plumbing); Nanotechnology; Optics; Chemistry; Meteorology; Physics","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":[0.0008044051,0.003390806,0.001710748,0.0037029,0.0007921725,0.002805369,0.003502321,0.002532495,0.2181643],"category_scores_gemma":[0.002739424,0.000668228,0.001322627,0.007349736,0.0005681989,0.001694066,0.002709465,0.00154482,0.4516116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099553,"about_ca_system_score_gemma":0.001520837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643763,"about_ca_topic_score_gemma":0.02105672,"domain_scores_codex":[0.9991283,0.0001366317,0.00009098674,0.0002538773,0.0002194083,0.0001708931],"domain_scores_gemma":[0.9993487,0.0001036953,0.00005110855,0.000267539,0.0001435384,0.00008543822],"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":[0.00006134567,0.00003289762,0.001162652,0.0009494586,0.00004654047,0.00003747519,0.00002267894,0.0006190725,0.0001823663,0.0004883201,0.9862698,0.01012735],"study_design_scores_gemma":[0.0001407585,0.00001785447,0.002281059,0.0002366855,0.00001649353,0.00004246553,0.00005180655,0.000692391,0.0003707632,0.001347227,0.9947793,0.00002316291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001134191,0.0001012639,0.0001088485,0.00005558192,0.00003001913,0.00001516241,0.99708,0.001294077,0.001201537],"genre_scores_gemma":[0.0003251588,0.00008521136,0.0002778601,0.00003546468,0.000006861917,0.00004607965,0.9982639,0.000109318,0.0008501116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7818357,"threshold_uncertainty_score":0.7298324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007603212472221036,"score_gpt":0.2001801165102425,"score_spread":0.1925769040380215,"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."}}