{"id":"W11529335","doi":"","title":"Maskull Lasserre: Wishbone Hangers and Other Objects","year":2009,"lang":"en","type":"article","venue":"Vie des arts","topic":"History and Developments in Astronomy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00005958883,0.000110181,0.000110055,0.00003581369,0.0001356653,0.00003181314,0.00005586024,0.00001947719,0.00050164],"category_scores_gemma":[0.000001398179,0.0001062717,0.00002498499,0.00006006984,0.0000608192,0.0001049582,0.0000150576,0.00006299267,0.0001052424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679165,"about_ca_system_score_gemma":0.00002365427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008761715,"about_ca_topic_score_gemma":0.000002868542,"domain_scores_codex":[0.9994578,0.00001313916,0.0001037943,0.0001662771,0.00006199117,0.0001969426],"domain_scores_gemma":[0.9997399,0.000009160987,0.00003882014,0.0001198747,0.00001018446,0.00008205575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004690241,0.0003418039,0.08404575,0.00001903741,0.0001186295,0.00001310463,0.005558362,0.00002475629,0.002160684,0.0345822,0.02662327,0.8464655],"study_design_scores_gemma":[0.0003575874,0.00005428948,0.009865442,0.00002916754,0.00001069849,0.000001530892,0.0001830096,0.000008025651,0.001300854,0.004516204,0.9834737,0.0001995481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3334504,0.0003733223,0.00783405,0.0002270107,0.000387837,0.0002326638,0.00001699336,0.00007959521,0.6573981],"genre_scores_gemma":[0.988703,0.000001068463,0.007752505,0.0003309253,0.0001724773,0.000008627895,0.000005936612,0.000009743365,0.003015736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9568503,"threshold_uncertainty_score":0.5492607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464101267108841,"score_gpt":0.2366430954927261,"score_spread":0.2220020828216377,"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."}}