{"id":"W6930198114","doi":"10.5281/zenodo.10793805","title":"mljs/spectra-processing: v14.2.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); Work (physics)","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":[0.00165958,0.003473768,0.00178434,0.002723536,0.001249122,0.00334452,0.005845592,0.001897217,0.3457429],"category_scores_gemma":[0.00324776,0.001519981,0.001618081,0.002134667,0.0007385049,0.002795713,0.002505822,0.00288957,0.3182296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572419,"about_ca_system_score_gemma":0.001301093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603607,"about_ca_topic_score_gemma":0.004536629,"domain_scores_codex":[0.998784,0.0001167218,0.00008229871,0.0002511857,0.0005671072,0.0001987556],"domain_scores_gemma":[0.9984118,0.0002265993,0.0001411815,0.0005121174,0.0005561188,0.0001522921],"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":[0.0003343466,0.00005073288,0.0005007079,0.0005787055,0.0001129284,0.0001042933,0.0001282108,0.001340587,0.01489747,0.006039193,0.9365871,0.03932574],"study_design_scores_gemma":[0.0002856242,0.00007759256,0.001933083,0.0001223493,0.00006828829,0.0003222348,0.00009588147,0.02008807,0.06665875,0.01589628,0.8942254,0.0002265638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002619031,0.0002807538,0.133368,0.0006184538,0.0004363966,0.0001894828,0.08655334,0.7234263,0.05250828],"genre_scores_gemma":[0.02884206,0.0003540227,0.1426764,0.001008196,0.0003458683,0.000652565,0.1839792,0.5843451,0.05779667],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3457429,"threshold_uncertainty_score":0.9332184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711315643924138,"score_gpt":0.2669518060581743,"score_spread":0.2298386496189329,"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."}}