{"id":"W6930177445","doi":"10.5281/zenodo.10519911","title":"aces/Loris: LORIS Release v24.1.6","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Download; Modal; Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004661125,0.0002891605,0.0002560087,0.0005220839,0.0005743399,0.00161785,0.000922613,0.0002335442,0.2043869],"category_scores_gemma":[0.0002812163,0.0003009377,0.0000894014,0.0006614993,0.0001353352,0.0002134947,0.0008332019,0.0003532602,0.1691613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950359,"about_ca_system_score_gemma":0.000009478474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004687556,"about_ca_topic_score_gemma":0.000001785304,"domain_scores_codex":[0.9976716,0.0002774083,0.0003325695,0.0007572696,0.0005534935,0.0004076474],"domain_scores_gemma":[0.9985939,0.00001144121,0.000242603,0.0006705642,0.0002488437,0.0002326457],"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":[0.00003329241,0.00007296049,9.767184e-8,0.0002098703,0.00002723536,0.00004013524,0.0003179712,0.000002542543,0.03134568,0.0007710478,0.953631,0.01354817],"study_design_scores_gemma":[0.0002212172,0.00008487187,0.00001192641,0.000164855,0.00004176921,0.00008139628,0.0001645048,0.00004837186,0.001523389,0.00007084838,0.9972678,0.0003190144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006584933,0.0005372206,0.001708159,0.0007650565,0.001770208,0.0006949555,0.001038907,0.008051515,0.9847755],"genre_scores_gemma":[0.01851881,0.00082601,0.0002621046,0.0003282377,0.002092574,2.908077e-7,0.003650429,0.02543968,0.9488819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04363684,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776578949840854,"score_gpt":0.2497995101926336,"score_spread":0.2220337206942251,"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."}}