{"id":"W6973778472","doi":"10.57907/mirri/gjxe2g","title":"MIRRI0073440","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Range (aeronautics); Key (lock)","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":["insufficient_payload"],"category_scores_codex":[0.0009163211,0.0009446978,0.0008622244,0.0006443797,0.0003250673,0.000155292,0.001850949,0.0004734902,0.9990606],"category_scores_gemma":[0.000574745,0.001011465,0.0005279689,0.0006122913,0.0001097757,0.0001241322,0.001205177,0.001895281,0.9847312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007990067,"about_ca_system_score_gemma":0.0006623845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303087,"about_ca_topic_score_gemma":0.0004100013,"domain_scores_codex":[0.9944592,0.0006511682,0.0009166485,0.001351523,0.00152972,0.001091738],"domain_scores_gemma":[0.9959064,0.000329837,0.0007679966,0.002483965,0.0001187877,0.000393046],"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":[0.00009856293,0.0004809028,0.00002098439,0.00008793717,0.0002223684,0.0008720084,0.00003023327,0.00004688219,0.0001454636,0.0000150443,0.9977466,0.0002329865],"study_design_scores_gemma":[0.001012517,0.00006161573,0.00001770138,0.00004956318,0.0003218712,0.0001233139,0.00009468727,0.000007814557,0.00009810443,0.0001294646,0.9970511,0.001032267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007708459,0.001382158,0.000002638319,0.0003847126,0.002130902,0.0006269141,0.9948798,0.0004754812,0.00004028075],"genre_scores_gemma":[0.000003438622,0.0002313227,0.0001791073,0.0007888007,0.001042022,0.000236984,0.9890091,0.0003078636,0.008201338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01432945,"threshold_uncertainty_score":0.9992335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739673835236007,"score_gpt":0.2689691465274996,"score_spread":0.2515724081751396,"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."}}