{"id":"W6945184267","doi":"10.22008/fk2/wp1tr3/z8nle1","title":"w50ac11.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":[0.0009416371,0.002905986,0.002276999,0.004243136,0.0007942159,0.003068441,0.003787978,0.002486126,0.2475086],"category_scores_gemma":[0.005329634,0.001366615,0.001271443,0.0102806,0.0004767664,0.002275067,0.00201271,0.001962539,0.3235074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248099,"about_ca_system_score_gemma":0.002021037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04920217,"about_ca_topic_score_gemma":0.06757133,"domain_scores_codex":[0.9989826,0.0001809788,0.0001063847,0.0003157413,0.0002007969,0.0002135632],"domain_scores_gemma":[0.9981884,0.0004760108,0.0001475556,0.0004990008,0.0005088496,0.0001801562],"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":[0.00002004283,0.000005752379,0.0001513653,0.0002402559,0.00001222403,0.000005852223,0.000009985994,0.000183558,0.00002272129,0.000283597,0.9983078,0.0007568175],"study_design_scores_gemma":[0.0001821412,0.000009203724,0.001299599,0.0001985853,0.00001708205,0.00002108567,0.0000569275,0.0003874364,0.0001421098,0.001371581,0.9962907,0.00002365729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002467732,0.00001980244,0.00004103772,0.00002186315,0.00001298639,0.000002818952,0.9990802,0.0002794965,0.000517049],"genre_scores_gemma":[0.0001448555,0.00002844865,0.0001422468,0.00002166186,0.000004980194,0.00003193253,0.9987434,0.0001753951,0.000707098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7524914,"threshold_uncertainty_score":0.8279986,"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."}}