{"id":"W4239763790","doi":"10.1163/2210-7886_asc-52467","title":"52467, 1894-04-12, MORISOT (Charles), Toronto","year":2017,"lang":"en","type":"dataset","venue":"Art Sales Catalogues Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Art","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007093908,0.001849255,0.002110598,0.000340305,0.0007438942,0.0004047219,0.004543448,0.001295835,0.0002554761],"category_scores_gemma":[0.0008085718,0.00182918,0.0006697737,0.0001290464,0.0009292912,0.00131619,0.001991496,0.001381923,0.536263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066726,"about_ca_system_score_gemma":0.0005851406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418916,"about_ca_topic_score_gemma":0.4436652,"domain_scores_codex":[0.9930395,0.0002537788,0.001441348,0.002132116,0.00143795,0.001695325],"domain_scores_gemma":[0.9894431,0.0002533345,0.001685456,0.007542589,0.0003245099,0.0007510357],"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":[0.0002392943,0.001044257,0.00009599966,0.0003337056,0.0004696632,0.0004761467,0.00006409482,0.000003656311,0.0002098467,0.000008262381,0.9969952,0.00005987182],"study_design_scores_gemma":[0.001326097,0.0002622503,0.001140526,0.0005087607,0.0007030717,0.0001760811,0.00007424868,0.00001864119,0.00001295089,0.00006466216,0.9937779,0.001934799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004781924,0.008273554,0.000002842156,0.0002030192,0.002793511,0.001021381,0.9864661,0.0006961179,0.00006528864],"genre_scores_gemma":[0.0001051984,0.005450215,0.0005187463,0.0004216096,0.004505542,0.00009669982,0.9832177,0.0005386483,0.005145696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5360075,"threshold_uncertainty_score":0.9994668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528354188835488,"score_gpt":0.3242160040367068,"score_spread":0.2889324621483519,"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."}}