{"id":"W6963440887","doi":"10.22008/fk2/wp1tr3/smaijp","title":"c50z10_6.rtl","year":2022,"lang":"bpy","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":[],"category_scores_codex":[0.0008722886,0.002237316,0.001945834,0.003887116,0.0008237283,0.002770223,0.002989594,0.002164727,0.2471415],"category_scores_gemma":[0.005178632,0.00132231,0.001118199,0.009252273,0.0004749371,0.001447095,0.001768734,0.00177924,0.2603677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132817,"about_ca_system_score_gemma":0.002670908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06460175,"about_ca_topic_score_gemma":0.0716571,"domain_scores_codex":[0.9991518,0.0001210365,0.00007766269,0.0002790187,0.0001813649,0.0001891096],"domain_scores_gemma":[0.9981723,0.0005342473,0.0001624773,0.0003829469,0.0005530356,0.0001950608],"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":[0.0000339268,0.000007089626,0.0002412177,0.0003545519,0.00001765388,0.000007518019,0.00001229703,0.0002590832,0.00003898458,0.0003021505,0.9978132,0.000912416],"study_design_scores_gemma":[0.0002752552,0.00001208489,0.003001512,0.0001920972,0.00002576229,0.00002409295,0.00005121485,0.0003627798,0.0001945284,0.0009824098,0.9948495,0.00002875902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002677461,0.00001585596,0.00002373672,0.00001688937,0.000009044185,0.000002544401,0.9993705,0.000176329,0.0003583473],"genre_scores_gemma":[0.000208082,0.00002868057,0.0001378826,0.00002100071,0.000005249597,0.00003273831,0.998779,0.0001541277,0.0006331882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7528585,"threshold_uncertainty_score":0.8267705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723147467160219,"score_gpt":0.2790960096048876,"score_spread":0.2318645349332854,"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."}}