{"id":"W6964065302","doi":"10.22008/fk2/cs5lka/hac018","title":"w50an4.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009437221,0.003001462,0.002120216,0.00377373,0.0008199145,0.003111375,0.003832132,0.002373076,0.2471862],"category_scores_gemma":[0.00445107,0.001375583,0.001427301,0.008131563,0.0005140738,0.002295411,0.002395909,0.001857267,0.3120395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178948,"about_ca_system_score_gemma":0.001778166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03586544,"about_ca_topic_score_gemma":0.05376671,"domain_scores_codex":[0.999143,0.0001447911,0.00008459938,0.0002799964,0.0001483837,0.0001992462],"domain_scores_gemma":[0.9986054,0.000318665,0.000139494,0.000421566,0.0003213678,0.0001934391],"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":[0.00003124799,0.00000899652,0.0002666266,0.0002967272,0.00001922445,0.00000680121,0.00001447399,0.0001862375,0.00003890066,0.000309498,0.9978973,0.0009239938],"study_design_scores_gemma":[0.0002709576,0.00001377964,0.00179544,0.000225504,0.00002191265,0.00002057792,0.00006161646,0.0004263717,0.000196612,0.00146732,0.9954714,0.00002858728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002927764,0.00001571637,0.00003290449,0.00001835857,0.00001161825,0.000003266971,0.9991457,0.0003089536,0.0004341798],"genre_scores_gemma":[0.0001949965,0.00002563074,0.0001534276,0.00002830051,0.000006256934,0.00004319365,0.9986153,0.0002246991,0.0007081981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7528138,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763158628882971,"score_gpt":0.2523864939109594,"score_spread":0.2147549076221296,"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."}}