{"id":"W2055642221","doi":"10.1089/zeb.2012.9996","title":"Zebrafish Make It to Hollywood!","year":2012,"lang":"en","type":"article","venue":"Zebrafish","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame","funders":"","keywords":"Hollywood; Zebrafish; Art history; Biology; Library science; Art; Computer science; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005696911,0.0002327601,0.0001984872,0.0001123988,0.0001538771,0.00006887445,0.0006339569,0.0002386758,0.0005521501],"category_scores_gemma":[0.0007830992,0.0002295568,0.0001350495,0.000447315,0.0001398613,0.00001123735,0.0004863353,0.0002005731,0.001426664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003754622,"about_ca_system_score_gemma":0.0001028043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002197589,"about_ca_topic_score_gemma":0.00006475569,"domain_scores_codex":[0.9976324,0.00007817364,0.0003015916,0.0004947732,0.0004959813,0.0009970581],"domain_scores_gemma":[0.997838,0.0000371362,0.00005802259,0.0008610273,0.0001354426,0.001070323],"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":[0.00004795668,0.0002901342,0.003243058,0.00001577512,0.00006236662,0.000002351215,0.00008324423,0.000001440722,0.369929,0.0009028006,0.6167744,0.008647438],"study_design_scores_gemma":[0.0003844656,0.0001693179,0.01715856,0.00001030864,0.00001159857,0.0000172057,0.00006745847,0.000004513619,0.09952952,0.0001047558,0.8822494,0.0002929095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618315,0.0005376767,0.008547885,0.02490903,0.0007090829,0.00151289,0.0002253252,0.000184916,0.1015417],"genre_scores_gemma":[0.9784688,0.00003724848,0.002283837,0.01155429,0.001423085,0.0002706462,0.0002490962,0.00006389838,0.005649103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2703995,"threshold_uncertainty_score":0.9993508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184779014988532,"score_gpt":0.307362327780824,"score_spread":0.2888844262819708,"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."}}