{"id":"W6955035948","doi":"10.57907/mirri/rzkrpa","title":"MIRRI0125109","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; Taxon; Key (lock); Strain (injury)","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":[0.000889559,0.0009328823,0.0008443586,0.0006300053,0.0003265109,0.0001529199,0.001872047,0.0004554068,0.9990247],"category_scores_gemma":[0.0005541047,0.001000596,0.0005179727,0.0006016251,0.0001046668,0.0001348101,0.001226997,0.001898585,0.9841504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672647,"about_ca_system_score_gemma":0.0006410347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189149,"about_ca_topic_score_gemma":0.0003585279,"domain_scores_codex":[0.9945325,0.0006771589,0.0009107589,0.00128595,0.00150359,0.00108999],"domain_scores_gemma":[0.9959548,0.0003127558,0.0007607514,0.002464556,0.0001130323,0.0003941164],"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":[0.00008986029,0.00047886,0.00002180243,0.00008756248,0.0002155031,0.0008206098,0.00003160116,0.00005232029,0.0001508958,0.00001269567,0.9978017,0.000236635],"study_design_scores_gemma":[0.0009891024,0.00005728742,0.00001940747,0.00004732045,0.0003244909,0.0001295624,0.00009060741,0.000008455867,0.0001014548,0.0001088625,0.9971018,0.001021669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008002528,0.001435024,0.000002324325,0.0004027637,0.002075276,0.000609986,0.9949026,0.0004527867,0.00003920435],"genre_scores_gemma":[0.000003654847,0.0002527437,0.000171619,0.0008323662,0.001031334,0.0002295544,0.9896517,0.0002871709,0.007539887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01487436,"threshold_uncertainty_score":0.9992445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736838322340453,"score_gpt":0.2685659254887987,"score_spread":0.2511975422653941,"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."}}