{"id":"W7099140654","doi":"","title":"The image of Colmez’s Montreal functor","year":2010,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006736728,0.0005311362,0.0004510367,0.001956729,0.002507776,0.00386476,0.0009116842,0.001320329,0.02645423],"category_scores_gemma":[0.002294225,0.0002955809,0.0005663432,0.001954978,0.004284948,0.006540982,0.001992391,0.00254073,0.001983229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004938796,"about_ca_system_score_gemma":0.001530396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04207265,"about_ca_topic_score_gemma":0.02285572,"domain_scores_codex":[0.9995365,0.000114997,0.0000124094,0.0001076088,0.0001241632,0.0001043362],"domain_scores_gemma":[0.9993699,0.0001788078,0.0000448826,0.0001121436,0.0001922832,0.0001019011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004598143,0.000001182806,0.00001639909,0.000003017757,0.000001045295,0.000007812804,0.00004487062,0.00003993464,0.0000444583,0.9970898,0.001512701,0.001234283],"study_design_scores_gemma":[0.00001425075,0.000005341888,0.0001540065,0.000008826043,0.000004533873,0.00003886471,0.00009376114,0.0007889477,0.0001998628,0.9343046,0.0643767,0.00001030587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03863007,0.002572748,0.07815348,0.01667126,0.001048591,0.00003112244,0.000958632,0.0006276001,0.8613064],"genre_scores_gemma":[0.7336375,0.00234866,0.02080487,0.00284649,0.001205391,0.00007472378,0.0007416275,0.0005210011,0.2378199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04207265,"threshold_uncertainty_score":0.08849823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006611604903137442,"score_gpt":0.1986790046073686,"score_spread":0.1920673997042312,"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."}}