{"id":"W6907675199","doi":"10.22008/fk2/wp1tr3/yq0mq0","title":"c50z10bw6.rtl","year":2021,"lang":"bpy","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":[0.0009663491,0.002738473,0.002447548,0.004217085,0.0008353442,0.003038656,0.003501666,0.002308974,0.2323299],"category_scores_gemma":[0.005379072,0.0013908,0.001158037,0.0104345,0.0005167627,0.001889095,0.00191207,0.001952391,0.2714401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374645,"about_ca_system_score_gemma":0.002416299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06794995,"about_ca_topic_score_gemma":0.07312512,"domain_scores_codex":[0.9990894,0.0001455589,0.00008388722,0.000292436,0.0001892661,0.0001995662],"domain_scores_gemma":[0.9982678,0.0004323861,0.0001529974,0.0004298901,0.000519426,0.0001974345],"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":[0.0000287452,0.000006545522,0.0002011225,0.0002964835,0.00001701868,0.00000595801,0.0000118119,0.0002416908,0.00003050558,0.000308693,0.9979205,0.0009309622],"study_design_scores_gemma":[0.0002470812,0.00001029593,0.002230581,0.0002072781,0.00002169353,0.0000216454,0.00005020457,0.0004512909,0.0001739674,0.001219802,0.9953362,0.00002999574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002238362,0.0000184302,0.00003207666,0.00001780258,0.00001078764,0.00000275539,0.9992362,0.0002674454,0.0003920415],"genre_scores_gemma":[0.0001836163,0.00003087752,0.0001624552,0.00001955591,0.000005897677,0.00003379013,0.9987884,0.0002125303,0.0005630021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7676701,"threshold_uncertainty_score":0.777221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839997110904299,"score_gpt":0.2816380311352333,"score_spread":0.2332380600261903,"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."}}