{"id":"W6944859635","doi":"10.22008/fk2/wp1tr3/lhj56h","title":"wi20cond_b.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":[0.000782583,0.002574813,0.001823569,0.003678451,0.0007138334,0.003071251,0.003067351,0.002091993,0.2405555],"category_scores_gemma":[0.004870113,0.001429629,0.001170926,0.008945159,0.0004079712,0.002130591,0.001939688,0.001739339,0.275343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446137,"about_ca_system_score_gemma":0.002073233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06325293,"about_ca_topic_score_gemma":0.0804315,"domain_scores_codex":[0.9992414,0.0001177335,0.00008084373,0.0002352679,0.0001571326,0.0001676834],"domain_scores_gemma":[0.9985353,0.0004004161,0.000128103,0.0003848141,0.0004016957,0.0001496626],"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":[0.00002077932,0.000005595789,0.0001999575,0.0002463607,0.0000130305,0.000005995258,0.00001177809,0.0001794139,0.00002049833,0.0003708549,0.998047,0.0008787366],"study_design_scores_gemma":[0.0001418747,0.000007501935,0.001582537,0.0001847778,0.00001634712,0.00001892559,0.00005743204,0.0003617569,0.0001529657,0.001283044,0.9961705,0.00002238942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002352117,0.00001749923,0.00003571647,0.0000219919,0.000009766482,0.000002466047,0.999047,0.0002454597,0.0005966636],"genre_scores_gemma":[0.000185847,0.00003380787,0.0001466655,0.00002329027,0.000004560686,0.00003799309,0.9985001,0.0001810324,0.0008867031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7594445,"threshold_uncertainty_score":0.8047382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527603781032923,"score_gpt":0.2788332089488854,"score_spread":0.2335571711385562,"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."}}