{"id":"W6931411832","doi":"10.5281/zenodo.7734708","title":"pmarchand1/ldrtf-seedlings: Initial submission","year":2023,"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":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Code (set theory); Context (archaeology); Work (physics); Key (lock); Data collection; Government (linguistics)","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":[0.002854363,0.001843631,0.0024432,0.002640754,0.003079412,0.003118872,0.004601327,0.002944901,0.2894866],"category_scores_gemma":[0.0059095,0.004009541,0.001648307,0.002007377,0.001110842,0.002939757,0.004394735,0.00603261,0.3311681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002428873,"about_ca_system_score_gemma":0.002651644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794836,"about_ca_topic_score_gemma":0.01015605,"domain_scores_codex":[0.9980472,0.0002162777,0.0002477055,0.0004811387,0.0007170071,0.0002906313],"domain_scores_gemma":[0.9954332,0.001366088,0.0002756706,0.001587923,0.0006874998,0.0006496562],"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":[0.001128424,0.0003173737,0.001215781,0.001823942,0.00008911209,0.0003941668,0.000553136,0.0003009529,0.1322905,0.006206434,0.8052973,0.05038285],"study_design_scores_gemma":[0.0004247199,0.0001119274,0.00381729,0.0002252148,0.00006070773,0.0003838778,0.00008839901,0.0009090469,0.08558559,0.002573333,0.9056598,0.0001601686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01024813,0.001043122,0.1318915,0.00223881,0.003418584,0.003696884,0.5461494,0.208365,0.09294859],"genre_scores_gemma":[0.03539961,0.0009457617,0.0761863,0.001236438,0.0002903412,0.006159291,0.4677476,0.2408408,0.1711937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2894866,"threshold_uncertainty_score":0.9684291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116066482406469,"score_gpt":0.2842773247591754,"score_spread":0.2331166599351107,"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."}}