{"id":"W6907505799","doi":"10.22008/fk2/wp1tr3/dmohes","title":"w50acbwt5.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":[0.0008864989,0.002561491,0.001985754,0.004235924,0.0007016222,0.002870577,0.003127737,0.002187812,0.1974498],"category_scores_gemma":[0.004859797,0.001318432,0.001153655,0.01033087,0.0004342195,0.001939432,0.001769217,0.001797542,0.2422101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337516,"about_ca_system_score_gemma":0.002199987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06912859,"about_ca_topic_score_gemma":0.08914659,"domain_scores_codex":[0.9991429,0.0001454299,0.00009460432,0.0002629736,0.0001743871,0.0001797354],"domain_scores_gemma":[0.9985327,0.000366602,0.0001363296,0.0003594887,0.0004561318,0.0001488465],"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":[0.00002189967,0.000005856189,0.0002195018,0.0002815383,0.00001535168,0.000006653522,0.00001379281,0.0002164345,0.00002609293,0.0003798279,0.9979177,0.000895363],"study_design_scores_gemma":[0.0001484983,0.000007615956,0.001665307,0.0002106517,0.00001849517,0.00002055181,0.00006790856,0.0003617813,0.0001428142,0.001298071,0.9960358,0.00002262057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002811057,0.00002230045,0.00004039597,0.00002048404,0.00001109316,0.000002600424,0.9991999,0.0002015563,0.0004735273],"genre_scores_gemma":[0.0001743892,0.00003477706,0.0001624561,0.0000203927,0.000004215643,0.00003307487,0.9986653,0.0001569132,0.0007484812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8025503,"threshold_uncertainty_score":0.6605352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}