{"id":"W3080129310","doi":"10.1145/3388767.3407357","title":"It's Raining Squids!","year":2020,"lang":"en","type":"article","venue":"","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ubisoft (Canada)","funders":"","keywords":"Creatures; Squid; Shading; Computer science; Task (project management); Geology; Computer graphics (images); Ecology; Biology; Engineering; Paleontology; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004330839,0.0006341109,0.0003482158,0.0001511347,0.0007330023,0.001011926,0.0007487758,0.0008445639,0.02134749],"category_scores_gemma":[0.0012477,0.0003907474,0.0006701407,0.0001453194,0.0007331619,0.001952275,0.001449572,0.001587178,0.003816078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629845,"about_ca_system_score_gemma":0.0004374359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103411,"about_ca_topic_score_gemma":0.0141269,"domain_scores_codex":[0.9998883,0.00002730171,0.000004588134,0.00002024685,0.00003788465,0.00002173624],"domain_scores_gemma":[0.9997477,0.00005504427,0.000009037838,0.00004647945,0.00006865282,0.00007311652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001083047,0.0002744777,0.01910999,0.001213789,0.0003916411,0.001220951,0.003022029,0.1264613,0.110975,0.05202428,0.423839,0.2603845],"study_design_scores_gemma":[0.0002734528,0.0006050433,0.007550506,0.0004251995,0.0002025325,0.0008298522,0.00187991,0.2588651,0.03013903,0.04102873,0.6580063,0.000194262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2177072,0.004982637,0.4946044,0.02570604,0.01016967,0.0005169869,0.005545416,0.05492757,0.1858401],"genre_scores_gemma":[0.6309555,0.00324591,0.2500204,0.005346376,0.0004574995,0.0004041472,0.004577328,0.007256031,0.09773694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02134749,"threshold_uncertainty_score":0.07141447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186929220563862,"score_gpt":0.2216087704986001,"score_spread":0.1797394782929615,"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."}}