{"id":"W6931421435","doi":"10.5281/zenodo.4362868","title":"Diapensia lapponica Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energetics; Population; Cannibalism; Zoogeography","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001207646,0.0001180905,0.0001472459,0.0001471696,0.001480743,0.000353684,0.0007033705,0.00006615873,0.006313493],"category_scores_gemma":[0.0007453068,0.0001162,0.00006495274,0.0005258633,0.0000909518,0.0001217447,0.0004927058,0.0002267357,0.00772522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000733555,"about_ca_system_score_gemma":0.000002559876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007775914,"about_ca_topic_score_gemma":6.626989e-7,"domain_scores_codex":[0.9986494,0.0001036602,0.0003009671,0.0002897385,0.0002932188,0.0003629797],"domain_scores_gemma":[0.9987295,0.0001280335,0.0001173846,0.0005094141,0.0003440601,0.0001716147],"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":[0.000140828,0.0004404982,0.000006897555,0.0001188742,0.00007576244,0.00002754161,0.001471833,0.00001047759,0.006324782,0.3276408,0.5048327,0.158909],"study_design_scores_gemma":[0.0005796132,0.00006568281,0.0003735074,0.0000127711,0.00001902199,0.00006567925,0.0002079835,0.00009611333,0.0004916289,0.007350008,0.9905912,0.0001467717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1088241,0.0001435487,0.06857099,0.002034359,0.0001559613,0.001225035,0.0001277013,0.002492768,0.8164255],"genre_scores_gemma":[0.9893355,0.00008198409,0.005224001,0.0001801017,0.0003376078,6.271089e-8,0.0003614518,0.001483844,0.002995491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8805113,"threshold_uncertainty_score":0.9998192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06444774511156416,"score_gpt":0.3081908039553848,"score_spread":0.2437430588438206,"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."}}