{"id":"W6888802419","doi":"10.22008/fk2/wp1tr3/a416jw","title":"w50vg11.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":[0.0009230631,0.003343177,0.0024623,0.004411018,0.0007788278,0.003204217,0.003988155,0.00267679,0.240659],"category_scores_gemma":[0.004865016,0.001471073,0.001373973,0.01052795,0.0005157356,0.002467424,0.002194709,0.002073695,0.3248913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121197,"about_ca_system_score_gemma":0.001815492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.041224,"about_ca_topic_score_gemma":0.05721002,"domain_scores_codex":[0.9990022,0.0001735337,0.0001032963,0.0003225359,0.0001955444,0.0002029798],"domain_scores_gemma":[0.9984691,0.0004234051,0.0001216634,0.0004314772,0.000398373,0.0001560682],"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":[0.00002006025,0.000006515777,0.0001426588,0.0002666781,0.00001353645,0.000006456938,0.0000119126,0.0002103075,0.00002521622,0.0002821637,0.9981537,0.0008607116],"study_design_scores_gemma":[0.0001898789,0.000009738376,0.001249919,0.0002235546,0.00001973695,0.0000236519,0.00006194225,0.0004746939,0.0001555999,0.001549909,0.9960142,0.00002710559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000267296,0.00002191925,0.00004926519,0.0000236543,0.00001368109,0.000003114782,0.9989347,0.0003851838,0.0005417815],"genre_scores_gemma":[0.0001330312,0.00002908625,0.0001536583,0.00002053323,0.000004643505,0.00003107891,0.9988312,0.0002037001,0.0005931231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7593409,"threshold_uncertainty_score":0.8050847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04531869747096429,"score_gpt":0.2797198600513083,"score_spread":0.234401162580344,"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."}}