{"id":"W6962594550","doi":"10.1594/pangaea.928442","title":"Geochemistry of La Grande Riviere (LG2) peat core from Canada","year":2021,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Electrical Contact Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Core (optical fiber); Carbon fibers; Earth (classical element)","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":[0.0005335878,0.001713937,0.001315628,0.00433243,0.001565155,0.002002131,0.003033209,0.001341909,0.01851163],"category_scores_gemma":[0.002432743,0.0006442892,0.001024336,0.01100613,0.0005462317,0.0006716065,0.001227101,0.001359671,0.01863579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01087004,"about_ca_system_score_gemma":0.01840993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9518841,"about_ca_topic_score_gemma":0.974718,"domain_scores_codex":[0.999392,0.00002448125,0.00003622824,0.0001599259,0.000225055,0.0001623088],"domain_scores_gemma":[0.9976629,0.0001889175,0.0001211499,0.0002642413,0.001516417,0.000246397],"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":[0.0001082046,0.00002770655,0.005800874,0.0007385877,0.00010413,0.00007212272,0.00007057358,0.00149232,0.0003539174,0.0007863357,0.9869193,0.003525907],"study_design_scores_gemma":[0.0002648229,0.00001177712,0.04950973,0.0004671868,0.00008882552,0.00007990741,0.000239292,0.001464,0.001079692,0.0008168967,0.9458983,0.00007965352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003549899,0.00005267233,0.00002459646,0.00002242857,0.000005466007,0.000003701379,0.9990224,0.000102885,0.0004108022],"genre_scores_gemma":[0.001158097,0.00006640607,0.0001302485,0.00001776545,0.000002046891,0.00001502284,0.9979292,0.00003513643,0.0006461205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04811591,"threshold_uncertainty_score":0.09679848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461620001288153,"score_gpt":0.2490684304741378,"score_spread":0.2144522304612563,"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."}}