{"id":"W6963788493","doi":"10.22008/fk2/cs5lka/thmezc","title":"rec250sht.rtl","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"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":["insufficient_payload"],"category_scores_codex":[0.001278496,0.002623892,0.001994643,0.004704722,0.0008237938,0.003374247,0.003589546,0.002314966,0.3465806],"category_scores_gemma":[0.006490166,0.001439609,0.001388084,0.009255731,0.0005301183,0.002034194,0.002445659,0.001744162,0.3794968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368322,"about_ca_system_score_gemma":0.002038736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418467,"about_ca_topic_score_gemma":0.03504714,"domain_scores_codex":[0.9988267,0.0002116876,0.0001391858,0.0003763752,0.0002171131,0.0002289568],"domain_scores_gemma":[0.9974542,0.0008308618,0.0002099963,0.0007047661,0.0005685412,0.0002316973],"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":[0.00002449162,0.000007239067,0.0001548674,0.0003190947,0.00001397453,0.000006574846,0.00001306546,0.0001178493,0.00003269652,0.0002463366,0.9983128,0.0007509756],"study_design_scores_gemma":[0.0002434502,0.00001062598,0.001181257,0.0001482409,0.00002079941,0.00002201422,0.00005116868,0.0001946584,0.0001514589,0.0009732304,0.9969811,0.00002189076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002547142,0.00001393355,0.00003107011,0.00002056533,0.000009326192,0.000003794023,0.999019,0.0003512117,0.000525528],"genre_scores_gemma":[0.0001830697,0.00002824817,0.0001550939,0.00003138713,0.000005934592,0.00005091323,0.9983302,0.0003436813,0.0008714401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6534194,"threshold_uncertainty_score":0.9320235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990560034222371,"score_gpt":0.2345233077808714,"score_spread":0.2146177074386476,"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."}}