{"id":"W6936364257","doi":"10.58052/ieneb002d","title":"MD06-3003,1135cm Core Quarter Round Sediment","year":2006,"lang":"en","type":"other","venue":"System for Earth Sample Registration (SESAR)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sediment core; Core (optical fiber); Quarter (Canadian coin); Sediment; Window (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233599,0.00103576,0.0009124494,0.003944352,0.001218617,0.001466582,0.002693282,0.0008985598,0.08289823],"category_scores_gemma":[0.002518901,0.0006837269,0.0004806996,0.003938111,0.0002902356,0.001030856,0.0009473817,0.0006767552,0.05795474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211922,"about_ca_system_score_gemma":0.002669252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0410878,"about_ca_topic_score_gemma":0.09210941,"domain_scores_codex":[0.9992279,0.00004859974,0.00005150519,0.0001883646,0.0004162801,0.00006735692],"domain_scores_gemma":[0.9987128,0.00005363893,0.0001321238,0.000316844,0.0006737284,0.0001108208],"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":[0.00103725,0.0002243738,0.01245161,0.0004380434,0.00005327709,0.0001410936,0.0001440692,0.004223507,0.008417298,0.002020249,0.8857092,0.08514009],"study_design_scores_gemma":[0.0002325916,0.0001015164,0.04380145,0.00008828913,0.00005598063,0.0001164349,0.0001123727,0.008581524,0.01616638,0.001573318,0.9291078,0.00006225052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01426608,0.0001386637,0.01364032,0.0001560898,0.0002216694,0.0005085359,0.8646526,0.01195253,0.09446359],"genre_scores_gemma":[0.03516974,0.0001431101,0.04501205,0.0001406246,0.00006989115,0.0008465122,0.8320451,0.004751477,0.08182147],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08289823,"threshold_uncertainty_score":0.2773222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599231069685981,"score_gpt":0.2775141269730193,"score_spread":0.2415218162761595,"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."}}