{"id":"W4398511703","doi":"10.7910/dvn/fmk6sq/cpoz14","title":"619299_2S1(Colour_1).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":"Environmental science","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":["insufficient_payload"],"category_scores_codex":[0.001403033,0.003707994,0.003701358,0.007137657,0.001811611,0.006397756,0.005632137,0.003896243,0.5531927],"category_scores_gemma":[0.009898064,0.001521918,0.002010843,0.01527024,0.0009484451,0.003976262,0.004692703,0.002716714,0.5000517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244672,"about_ca_system_score_gemma":0.003268159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665504,"about_ca_topic_score_gemma":0.03401371,"domain_scores_codex":[0.9985703,0.0002070378,0.0001530375,0.000434445,0.0002711251,0.0003639367],"domain_scores_gemma":[0.9963243,0.001291756,0.0003887366,0.0007078933,0.0008539532,0.0004333679],"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":[0.00005218079,0.0000104667,0.0001787297,0.001303547,0.00002420034,0.00001157568,0.00002150922,0.0001148549,0.00008125885,0.0005211355,0.9966504,0.001030226],"study_design_scores_gemma":[0.0002886525,0.00001290921,0.001077086,0.0006403193,0.00003249556,0.00002422158,0.00005823746,0.0001133302,0.0002522481,0.001644678,0.9958162,0.00003963213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001609788,0.00004685342,0.00002126329,0.00003381839,0.00001445653,0.000003768023,0.9989556,0.0002874357,0.0006205897],"genre_scores_gemma":[0.0002819118,0.0001232097,0.0001573832,0.00008053803,0.00001259516,0.00007286803,0.9976946,0.0003705817,0.001206306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4468073,"threshold_uncertainty_score":0.6373164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599699940787169,"score_gpt":0.2526052438092111,"score_spread":0.2366082444013394,"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."}}