{"id":"W6964207763","doi":"10.25358/openscience-10453","title":"Machine-learning-based detection of spin structures","year":2024,"lang":"en","type":"article","venue":"Gutenberg Open Science","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme; Mitacs; Deutsche Forschungsgemeinschaft; Carl-Zeiss-Stiftung; Deutscher Akademischer Austauschdienst; European Commission","keywords":"Spin (aerodynamics); Noise (video); Field (mathematics); Ferromagnetism; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929388,0.0004899741,0.0004876491,0.001443225,0.0003896984,0.000901226,0.0007060038,0.0009483186,0.001963441],"category_scores_gemma":[0.002470663,0.0002065115,0.000334928,0.0008645584,0.0003598941,0.0009522384,0.0005969403,0.0009877364,0.001210185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000352547,"about_ca_system_score_gemma":0.000432077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006330198,"about_ca_topic_score_gemma":0.001446016,"domain_scores_codex":[0.9997019,0.00007231521,0.00001258685,0.00008820468,0.0000865211,0.00003839303],"domain_scores_gemma":[0.9991663,0.000300236,0.0001764317,0.0001260062,0.0001851951,0.00004595202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006979507,0.000414985,0.01187083,0.0004023665,0.0001471287,0.0002229853,0.00008929092,0.0368586,0.2993086,0.0159968,0.006354486,0.627636],"study_design_scores_gemma":[0.0000290353,0.00009427285,0.004078262,0.00002132635,0.00003500696,0.0002360849,0.00002353291,0.8822735,0.09531922,0.01474292,0.00311628,0.00003047284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1935733,0.001268943,0.7933809,0.0007516046,0.0001938404,0.00008189667,0.000824256,0.002910198,0.007015058],"genre_scores_gemma":[0.714959,0.0005420166,0.2802256,0.000175507,0.00009117651,0.0000578797,0.0008914339,0.0001066708,0.0029507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001963441,"threshold_uncertainty_score":0.006568372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774131599811534,"score_gpt":0.3390890976318551,"score_spread":0.3213477816337398,"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."}}