{"id":"W6888793272","doi":"10.22008/fk2/cs5lka/p0k4iu","title":"christtf.txt","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":[0.001007214,0.003084345,0.002082161,0.004602777,0.0009684612,0.003855634,0.003490061,0.002271697,0.286217],"category_scores_gemma":[0.005697522,0.001293043,0.001242042,0.01015977,0.0004867332,0.003222124,0.002790261,0.002295843,0.3983207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466938,"about_ca_system_score_gemma":0.001989189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03662593,"about_ca_topic_score_gemma":0.05348505,"domain_scores_codex":[0.9989769,0.0001753183,0.0001007565,0.0003483079,0.0001972553,0.0002014569],"domain_scores_gemma":[0.9978355,0.0006080418,0.0001633401,0.0006512713,0.0005179031,0.000224033],"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":[0.00001816536,0.000004642893,0.00009999764,0.0001711532,0.000006746536,0.000004797045,0.00001115935,0.00009126815,0.00001494622,0.0002878335,0.9985186,0.0007705712],"study_design_scores_gemma":[0.00009509132,0.00000712177,0.0008392997,0.0001499793,0.000008299095,0.00001750605,0.00005272252,0.000233489,0.00009596242,0.001363033,0.997122,0.00001538629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000021772,0.00002058924,0.00003842368,0.00003264118,0.00001319183,0.000003019802,0.9986013,0.0005039377,0.0007651149],"genre_scores_gemma":[0.0001480839,0.00003780738,0.0001391515,0.00002957954,0.000006871526,0.00002894483,0.9985697,0.000248016,0.0007917406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.713783,"threshold_uncertainty_score":0.9574913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309395928881495,"score_gpt":0.2787558106484599,"score_spread":0.2356618513596449,"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."}}