{"id":"W1545394660","doi":"","title":"A Diverse Legacy: The CN Photo Collection at the Canada Science and Technology Museum","year":2001,"lang":"en","type":"article","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Visual arts; Art history; History; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.006042071,0.00008882679,0.0001076406,0.0004126372,0.003219779,0.0006122135,0.002134815,0.00005025579,0.0006998155],"category_scores_gemma":[0.004500481,0.00003557848,0.00001928013,0.0102789,0.003229535,0.0005932151,0.0008582842,0.0002851985,0.00007328759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224436,"about_ca_system_score_gemma":0.001695774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2552566,"about_ca_topic_score_gemma":0.7878261,"domain_scores_codex":[0.9956027,0.00008942484,0.0002249015,0.0005191911,0.003071977,0.000491776],"domain_scores_gemma":[0.9978555,0.0008000829,0.0000781673,0.0005970855,0.0005274485,0.0001416515],"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":[0.00005092755,0.00002199156,0.08487576,9.948124e-7,0.000006778477,0.00004046509,0.0008637808,0.00004548108,0.01685576,0.0082437,0.8133436,0.07565072],"study_design_scores_gemma":[0.0002475975,0.0000588009,0.03913459,0.000003490866,0.000003179874,0.0001703944,0.01644132,0.006030795,0.007576144,0.006840036,0.9233454,0.0001482537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734062,0.00009229326,0.00005027189,0.06810826,0.0003079425,0.0002628834,0.000002021097,0.00002399774,0.05774617],"genre_scores_gemma":[0.9561988,0.00009085022,0.00002108866,0.001537448,0.00003029915,0.00001454123,6.015118e-8,0.000002312927,0.04210464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5325695,"threshold_uncertainty_score":0.9994831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07376099027051547,"score_gpt":0.3649829123013795,"score_spread":0.291221922030864,"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."}}