{"id":"W4406523502","doi":"10.1016/s0024-7804(97)81439-x","title":"10.1016/s0024-7804(97)81439-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Solid-state spectroscopy and crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Table (database); Computer science; Artificial intelligence; Data mining; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002208742,0.0001985848,0.0002217561,0.0001009998,0.0001541679,0.0001253866,0.0003866701,0.00007590075,0.9991226],"category_scores_gemma":[0.00001777066,0.0001853165,0.00009676624,0.000349422,0.00009380128,0.000181664,0.0000513366,0.00009748498,0.9965079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003001816,"about_ca_system_score_gemma":0.00003125863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004612734,"about_ca_topic_score_gemma":6.039576e-7,"domain_scores_codex":[0.9985306,0.00006303138,0.0002331105,0.0003921891,0.0002696834,0.0005114323],"domain_scores_gemma":[0.9992499,0.00004036118,0.00003961394,0.0004212269,0.00003843277,0.0002104273],"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":[0.0006104257,0.0003288754,0.000001371807,0.00003487401,0.0000404186,0.00005438324,0.000190008,0.0002730376,0.2156245,0.00003918015,0.553405,0.2293979],"study_design_scores_gemma":[0.000222247,0.0002206578,0.00002387066,0.00001424835,0.00001628032,0.000009457704,0.000003526696,0.00003869736,0.01337917,0.0001030987,0.9857404,0.0002283614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01549586,0.00008130507,0.000004060449,0.0001829486,0.000005613418,0.0002062384,0.00004380119,0.0003046658,0.9836755],"genre_scores_gemma":[0.001850223,7.081732e-7,0.0004163449,0.0001001394,0.0001567377,0.00003159734,0.00001268525,0.00002947749,0.9974021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4323354,"threshold_uncertainty_score":0.7556989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005002366463868015,"score_gpt":0.1862164492020089,"score_spread":0.1812140827381409,"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."}}