{"id":"W4394527263","doi":"10.6084/m9.figshare.959999.v15","title":"The Montreal Spectral Library","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Libraries, Manuscripts, and Books","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002341201,0.0003215911,0.0002637022,0.00005516899,0.0007158109,0.002281781,0.0009942774,0.0001626625,0.6564159],"category_scores_gemma":[0.0001070601,0.0002008997,0.0001834601,0.00001495492,0.0000705978,0.0005001265,0.0003063392,0.0004727318,0.01704616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001009742,"about_ca_system_score_gemma":0.0001197181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002580409,"about_ca_topic_score_gemma":0.002960561,"domain_scores_codex":[0.9987807,0.00005231211,0.0002506861,0.0002915442,0.0002343923,0.0003903092],"domain_scores_gemma":[0.9988079,0.0002196145,0.0001763797,0.0006772347,0.00002880006,0.00009008214],"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":[0.00001048583,0.00001316946,6.309489e-8,0.0001623405,0.00003929531,0.00002287164,0.0002262525,4.186149e-8,4.030793e-9,0.001997201,0.9969766,0.0005516647],"study_design_scores_gemma":[0.00009894764,0.00004555521,0.000009073556,0.0004042037,0.00002297714,0.00000243486,0.00007728254,0.000002211749,0.000001959246,0.001296396,0.997739,0.0002999635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.029612e-7,0.0007365493,1.7089e-9,0.0002701625,0.0007009596,0.0001728385,0.8452625,0.0001363688,0.1527205],"genre_scores_gemma":[0.00000253908,0.00003026155,6.96794e-7,0.001518426,0.008460735,0.0001066308,0.9106498,0.00003902228,0.07919192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6393697,"threshold_uncertainty_score":0.998754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634337519531392,"score_gpt":0.1984321306496181,"score_spread":0.0349983786964789,"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."}}