{"id":"W4398993567","doi":"10.7910/dvn/ryrxk7/azls7q","title":"all_1Dpspec_mips70_orig.pdf","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Physics; Geography; Humanities; Art","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":[0.0007130713,0.00350622,0.001583591,0.003156089,0.0009303937,0.002617105,0.003640573,0.001910067,0.1149182],"category_scores_gemma":[0.002211489,0.001227179,0.001723817,0.005636743,0.0005022515,0.00195555,0.002372128,0.002083064,0.1701631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416957,"about_ca_system_score_gemma":0.001646203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03280347,"about_ca_topic_score_gemma":0.04671645,"domain_scores_codex":[0.9992982,0.00006163769,0.00005393451,0.0001896967,0.0001877761,0.0002086728],"domain_scores_gemma":[0.9990153,0.0001374,0.00009775515,0.0003235778,0.0003192534,0.000106599],"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":[0.00003151299,0.00001447502,0.0003456033,0.0002970857,0.00002879592,0.00001413676,0.00001542745,0.0002172083,0.0001842253,0.000299014,0.9969897,0.00156284],"study_design_scores_gemma":[0.0001853069,0.00001038246,0.003897014,0.0001361701,0.00003151164,0.00004877883,0.00005411459,0.0004688103,0.0009759014,0.001440561,0.9927092,0.00004220997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007212216,0.00002649244,0.00006375943,0.00002566305,0.00001711081,0.000005096691,0.9982861,0.0008398281,0.0006638368],"genre_scores_gemma":[0.0002923555,0.00003349279,0.0002574161,0.00002613944,0.000007238172,0.00002489519,0.998578,0.0002611646,0.0005193684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8850818,"threshold_uncertainty_score":0.3844398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091576270625167,"score_gpt":0.2192933147656796,"score_spread":0.2083775520594279,"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."}}