{"id":"W4398596545","doi":"10.7910/dvn/fmk6sq/atggsl","title":"652684_2S1C(RGB).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Solid-state spectroscopy and crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Environmental science; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006565299,0.001215145,0.001319274,0.0003404699,0.0006090094,0.0008665452,0.002904834,0.0007871836,0.2177839],"category_scores_gemma":[0.0004600553,0.001284074,0.0005623742,0.0009337371,0.001124635,0.001131386,0.001696764,0.001161794,0.7735863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202625,"about_ca_system_score_gemma":0.0004904352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154436,"about_ca_topic_score_gemma":0.000358902,"domain_scores_codex":[0.9933728,0.0005538272,0.001157275,0.002115657,0.001135858,0.001664578],"domain_scores_gemma":[0.9949529,0.0002483418,0.0007041928,0.002947118,0.0001483457,0.0009990884],"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":[0.000349924,0.0003284038,0.00002371251,0.0007026106,0.0001815964,0.001262267,0.0002068433,0.00002454172,0.03052638,0.001257985,0.9650102,0.0001255577],"study_design_scores_gemma":[0.001028546,0.00044051,0.00005716707,0.0002910856,0.0006048645,0.00009207897,0.0004797035,0.0000837691,0.004680244,0.000355809,0.9905576,0.001328695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006217344,0.00001584298,0.0004132567,0.0001228577,0.006402933,0.0007926282,0.9894762,0.0002653954,0.001889127],"genre_scores_gemma":[0.0002978016,0.002309044,0.002926801,0.00284925,0.001748797,0.0000811635,0.9886168,0.0001135411,0.001056843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5558024,"threshold_uncertainty_score":0.9989609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157829206644494,"score_gpt":0.2519520072019252,"score_spread":0.2361690865374758,"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."}}