{"id":"W6963663484","doi":"10.22008/fk2/orktcu/o9zacc","title":"MISC.TXT","year":2022,"lang":"ca","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":[0.001034136,0.002439544,0.001886909,0.005232261,0.001128469,0.005061319,0.003175751,0.001604093,0.3787237],"category_scores_gemma":[0.007962816,0.001302501,0.001213813,0.01535762,0.0004552879,0.002860721,0.002678395,0.001899334,0.4427235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836116,"about_ca_system_score_gemma":0.003179345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07025927,"about_ca_topic_score_gemma":0.0971049,"domain_scores_codex":[0.9987648,0.000168095,0.0001619698,0.0004075095,0.0002568713,0.0002408737],"domain_scores_gemma":[0.9958878,0.001073174,0.0003472393,0.0009896903,0.001348536,0.0003535533],"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":[0.00001231091,0.000002885768,0.0001038217,0.0001799086,0.0000057843,0.000003060535,0.000009212536,0.00004336153,0.00001009856,0.0002750388,0.998594,0.0007605904],"study_design_scores_gemma":[0.00006478237,0.000003732543,0.0008517822,0.0001377152,0.000009838292,0.000009575989,0.00003983532,0.00008150466,0.00005510338,0.0007053126,0.9980296,0.00001123219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001284259,0.00001474779,0.00002248782,0.00003048278,0.000008964689,0.000003160234,0.9983479,0.0002738133,0.001285616],"genre_scores_gemma":[0.0001342502,0.00004964958,0.0001512154,0.00003841769,0.000008582682,0.00004260249,0.9974977,0.0002703233,0.001807143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6212763,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301208503886635,"score_gpt":0.2762366910649439,"score_spread":0.2332246060260776,"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."}}