{"id":"W6917673513","doi":"10.57907/mirri/hshqdm","title":"MIRRI0113464","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":"Organism; Population; Taxon; Quality (philosophy); Interpretation (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001693129,0.004181079,0.002628287,0.007237388,0.001898472,0.004970108,0.004083997,0.004564749,0.3382706],"category_scores_gemma":[0.01130486,0.001690493,0.002038688,0.01149492,0.0009748827,0.002291733,0.003261972,0.002610239,0.417401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00257654,"about_ca_system_score_gemma":0.006158001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04304891,"about_ca_topic_score_gemma":0.06648494,"domain_scores_codex":[0.9980326,0.000277328,0.0001775267,0.0006850398,0.0004523399,0.0003751976],"domain_scores_gemma":[0.9949485,0.001563887,0.000403493,0.00116488,0.001228968,0.000690259],"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":[0.0000614173,0.00001438116,0.000266215,0.0006413216,0.00001821319,0.000008633193,0.00002402385,0.0001068333,0.0001041091,0.0002483146,0.9975386,0.0009680038],"study_design_scores_gemma":[0.0005131745,0.000029869,0.002248096,0.0004156679,0.00005454803,0.0000317902,0.00008816893,0.0002608787,0.0003678749,0.001195054,0.9947479,0.00004689831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003344519,0.00003998672,0.00002855447,0.00003915848,0.00002184886,0.000006697343,0.9989445,0.0003412265,0.0005446157],"genre_scores_gemma":[0.0001516295,0.00004853379,0.000214536,0.00006590329,0.000008275444,0.00004883092,0.9983897,0.0001999535,0.0008725307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6617295,"threshold_uncertainty_score":0.9438767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777662079123845,"score_gpt":0.2675204043161292,"score_spread":0.2497437835248907,"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."}}