{"id":"W6948487603","doi":"10.48660/08110002","title":"New Superconductors","year":2008,"lang":"es","type":"other","venue":"PIRSA","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Superconductivity; High-temperature superconductivity; Work (physics); Field (mathematics); Measure (data warehouse)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004261603,0.0006426105,0.0007977244,0.001310052,0.001231316,0.002051137,0.0008707265,0.0008186908,0.03079866],"category_scores_gemma":[0.0007112866,0.0002957478,0.0004145961,0.0009545747,0.0006634801,0.002067178,0.001533813,0.001414716,0.009737852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006722077,"about_ca_system_score_gemma":0.0005155678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002662653,"about_ca_topic_score_gemma":0.0005916447,"domain_scores_codex":[0.9997657,0.00003415456,0.00001039097,0.00004599757,0.0001068295,0.00003702178],"domain_scores_gemma":[0.9997334,0.00003200625,0.00002282661,0.00006469812,0.00009270593,0.00005433325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005092598,0.0001534498,0.0008428477,0.001500608,0.00008307351,0.00068047,0.0003859814,0.0006745271,0.05707503,0.3187843,0.3633376,0.2559729],"study_design_scores_gemma":[0.00007511704,0.000230631,0.0007248666,0.0001979127,0.00006221486,0.0009778379,0.0001217311,0.004020967,0.01771192,0.03169303,0.9441524,0.00003134696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07682528,0.03339753,0.03423652,0.008101013,0.01755107,0.0002612813,0.001200132,0.004412462,0.8240147],"genre_scores_gemma":[0.3943284,0.01904043,0.05549697,0.002333969,0.005543546,0.0006026171,0.002711065,0.00115482,0.5187882],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03079866,"threshold_uncertainty_score":0.1030318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890064113417031,"score_gpt":0.2868215623998343,"score_spread":0.257920921265664,"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."}}