{"id":"W6913074673","doi":"10.5683/sp3/qjpewe","title":"Gritty Dolomite Sample NT03A second session BSE","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dolomite; Sample (material); Session (web analytics); Chlorite","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":[],"consensus_categories":[],"category_scores_codex":[0.001097564,0.005923441,0.002753997,0.003496947,0.001873631,0.003283059,0.003595529,0.003822252,0.06818776],"category_scores_gemma":[0.003689807,0.001035572,0.003391172,0.003921542,0.0007338595,0.002404972,0.002986155,0.002845579,0.1524853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284948,"about_ca_system_score_gemma":0.00238487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06425571,"about_ca_topic_score_gemma":0.2155614,"domain_scores_codex":[0.9982969,0.0001801472,0.0001024376,0.0004973695,0.0006162548,0.0003069348],"domain_scores_gemma":[0.9982111,0.000229919,0.00006950901,0.0005517244,0.0006693755,0.0002684229],"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":[0.0001018045,0.0000412775,0.0004393835,0.0002646976,0.00002861942,0.0000342226,0.00001496819,0.0002090898,0.000350285,0.00009653484,0.9952344,0.003184759],"study_design_scores_gemma":[0.0003423925,0.00006091266,0.006467195,0.0002041573,0.00007056511,0.0002290971,0.0001579332,0.001656677,0.00198993,0.001469523,0.9872819,0.00006972345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007586566,0.0002971106,0.0002862331,0.000197961,0.0002505927,0.00004599557,0.9903988,0.004253615,0.003511139],"genre_scores_gemma":[0.000532052,0.00004947523,0.0005878765,0.0000729255,0.0000171104,0.00003147763,0.9969096,0.0002617689,0.001537739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06818776,"threshold_uncertainty_score":0.2281108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706720764389619,"score_gpt":0.3060943775691755,"score_spread":0.2690271699252793,"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."}}