{"id":"W7106227182","doi":"10.5683/sp3/tcoc7r","title":"Fractional magnetization plateaus in Er2Be2GeO7","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Magnetization; Context (archaeology); Compression (physics); Ferromagnetism; Field (mathematics)","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":[0.0006881662,0.001856109,0.001418805,0.001674574,0.0008410772,0.00121121,0.001979701,0.001676415,0.02140764],"category_scores_gemma":[0.00207354,0.0004583122,0.001309842,0.002600238,0.0003803027,0.0008657855,0.0009317367,0.001099067,0.02621348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855602,"about_ca_system_score_gemma":0.001099108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941194,"about_ca_topic_score_gemma":0.03887271,"domain_scores_codex":[0.9995345,0.00005001121,0.0000269477,0.0001857871,0.0001116034,0.00009120021],"domain_scores_gemma":[0.9991965,0.0001826075,0.00009075774,0.0001781141,0.0002979455,0.00005410396],"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":[0.0005548819,0.00005864528,0.003458339,0.001981633,0.0002124014,0.0001060562,0.0000562627,0.001839062,0.005907712,0.0007306218,0.9788958,0.006198517],"study_design_scores_gemma":[0.0009870153,0.0001020412,0.04063857,0.0003510482,0.000351381,0.0002757338,0.0001781588,0.00398291,0.01508521,0.005375196,0.9324635,0.0002091618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002857505,0.0003170952,0.0002497933,0.0001268421,0.00006315974,0.000008998431,0.9925221,0.002370695,0.001483819],"genre_scores_gemma":[0.008521209,0.0001871121,0.001097225,0.00009109938,0.00002745536,0.00006778214,0.988292,0.0004646751,0.001251384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02140764,"threshold_uncertainty_score":0.0716157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117279072455491,"score_gpt":0.2775840255914512,"score_spread":0.2664112348668963,"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."}}