{"id":"W6950970371","doi":"10.5291/ill-data.5-53-250","title":"Sm2Ti2O7: A Quantum Spin Ice Candidate","year":2016,"lang":"en","type":"dataset","venue":"Institut Laue-Langevin","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Quantum; Spin (aerodynamics); Quantum dot; Quantum entanglement; Quantum system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003667407,0.001990345,0.001059951,0.001623322,0.0006505926,0.0009301995,0.001773075,0.001654534,0.01805785],"category_scores_gemma":[0.001279188,0.0003354952,0.001112097,0.003004701,0.0003179034,0.000693619,0.0008996838,0.000806145,0.02101576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812176,"about_ca_system_score_gemma":0.001465648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280291,"about_ca_topic_score_gemma":0.04945713,"domain_scores_codex":[0.9996588,0.00003178968,0.00002340555,0.00008673489,0.0001173339,0.00008189199],"domain_scores_gemma":[0.9995279,0.00008180486,0.00006073396,0.00009858068,0.0001354963,0.00009539416],"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":[0.0003805956,0.00008123007,0.002278029,0.001059177,0.00008502891,0.00008880583,0.00002549554,0.00206651,0.001046194,0.0005940537,0.9862664,0.006028413],"study_design_scores_gemma":[0.0009046303,0.00008824344,0.01355762,0.0002418907,0.0001400672,0.0001429126,0.0001489305,0.00567945,0.003705171,0.002814861,0.9725072,0.00006890322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002819103,0.0002325339,0.0001080097,0.00009236401,0.00004667871,0.00001514016,0.9948093,0.0005423523,0.001334446],"genre_scores_gemma":[0.002618698,0.0001134347,0.0003148617,0.00003233899,0.00001441151,0.00003568685,0.995906,0.00006509111,0.000899496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02280291,"threshold_uncertainty_score":0.06040955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058242186104812,"score_gpt":0.2453492054423189,"score_spread":0.2347667835812708,"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."}}