{"id":"W4233916382","doi":"10.7202/1069000ar","title":"Animalia","year":2019,"lang":"fr","type":"article","venue":"Voix et Images","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002717791,0.0001605285,0.0001988898,0.0000108113,0.000101757,0.00009476818,0.00022815,0.0001913332,0.05344797],"category_scores_gemma":[0.00002703007,0.00007303201,0.0001045979,0.0001738474,0.0001378803,0.0003358756,0.0001088782,0.000189031,0.02711691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002650759,"about_ca_system_score_gemma":0.00001825513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047199,"about_ca_topic_score_gemma":0.0005217594,"domain_scores_codex":[0.9988295,0.0001577452,0.0001676368,0.0003087252,0.00008541052,0.0004509213],"domain_scores_gemma":[0.9995866,0.0001385301,0.00006962759,0.00007011252,0.00004568647,0.00008947997],"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":[0.0000629788,0.0004198776,0.1200679,0.0001056815,0.00007591102,0.00006474258,0.0002727988,0.00001996523,0.144877,0.04814909,0.5757832,0.1101008],"study_design_scores_gemma":[0.0001402488,0.0004451452,0.1358354,0.00002478964,0.00001346032,0.00002320395,0.000261652,0.0001130352,0.004337253,0.001289511,0.8572895,0.0002268252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601313,0.002391949,0.000004379292,0.08717655,0.002804613,0.0002426356,0.000352136,0.00005801538,0.04683844],"genre_scores_gemma":[0.6334313,0.0003493951,0.000218199,0.003090438,0.0004215191,0.000007265141,0.0000243151,0.000001476263,0.3624561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3156176,"threshold_uncertainty_score":0.9736406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778366714644649,"score_gpt":0.225398104599096,"score_spread":0.2076144374526495,"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."}}