{"id":"W6888771053","doi":"10.22008/fk2/cs5lka/xux87z","title":"w50vgbw4.rtl","year":2022,"lang":"cs","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":[0.0008814835,0.003264882,0.002057306,0.005200655,0.0007786853,0.00321627,0.004006512,0.00265391,0.206577],"category_scores_gemma":[0.004969103,0.001281445,0.001508748,0.01153183,0.0005656996,0.001889638,0.002165043,0.002008083,0.2775443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302164,"about_ca_system_score_gemma":0.002237512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04722346,"about_ca_topic_score_gemma":0.06474857,"domain_scores_codex":[0.9990824,0.0001402361,0.00008835455,0.0003047423,0.0001923702,0.0001918166],"domain_scores_gemma":[0.998385,0.0004307791,0.0001150914,0.0004651975,0.0004357197,0.0001683206],"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":[0.00002450886,0.000006611089,0.000167089,0.0002669153,0.00001605333,0.00000652568,0.00001130386,0.0002048588,0.00003985875,0.0002486783,0.9982292,0.0007784591],"study_design_scores_gemma":[0.0002434753,0.00001114254,0.001663272,0.0001881754,0.00003082291,0.00002623021,0.00006799279,0.0005710617,0.0002288676,0.001487504,0.9954504,0.00003110245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003749659,0.00001918617,0.00004376407,0.00002402069,0.00001117797,0.000003344885,0.9990029,0.0004526262,0.0004054913],"genre_scores_gemma":[0.0001515863,0.00002492534,0.0001525994,0.00001796445,0.000003745133,0.00002685005,0.9989725,0.0002035549,0.0004462424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7934231,"threshold_uncertainty_score":0.6910688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}