{"id":"W6945057995","doi":"10.22008/fk2/wp1tr3/5u7ftu","title":"c250an.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":[0.0009853101,0.003008375,0.002409281,0.00416126,0.0009463113,0.003380165,0.004094592,0.002414411,0.2969708],"category_scores_gemma":[0.005181895,0.001317253,0.001373894,0.00998645,0.0005454503,0.002185439,0.00233861,0.001990536,0.3766348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435917,"about_ca_system_score_gemma":0.002186981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0463874,"about_ca_topic_score_gemma":0.06805227,"domain_scores_codex":[0.9989937,0.0001917075,0.00008839997,0.0003428469,0.0001847331,0.0001986868],"domain_scores_gemma":[0.9981627,0.0005017988,0.0001341917,0.0005373795,0.0004702594,0.0001936401],"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":[0.00001940127,0.000005421669,0.0001136518,0.0002405135,0.00001131955,0.000004946316,0.000009509592,0.0001621854,0.00002075049,0.0002743468,0.9983725,0.000765483],"study_design_scores_gemma":[0.0001617431,0.000007841501,0.0009249103,0.0001778829,0.00001517169,0.0000203343,0.0000430733,0.0003332502,0.0001231021,0.001260274,0.9969096,0.00002279005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002176734,0.00002127328,0.00003960006,0.00002153821,0.0000122385,0.000003050552,0.9988827,0.0003681748,0.0006295813],"genre_scores_gemma":[0.0001456193,0.00003082389,0.0001776612,0.00002807055,0.000005903012,0.00003590422,0.9985989,0.0002499233,0.000727294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7030292,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04531379916456706,"score_gpt":0.2797482888524275,"score_spread":0.2344344896878604,"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."}}