{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003474187,0.003643655,0.002077844,0.003499918,0.001602279,0.007692946,0.003736998,0.002044097,0.5882045],"category_scores_gemma":[0.02138723,0.00305719,0.002296459,0.003539904,0.0006760683,0.009647593,0.006139875,0.003552654,0.7626331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702739,"about_ca_system_score_gemma":0.002520991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198295,"about_ca_topic_score_gemma":0.01197888,"domain_scores_codex":[0.9973074,0.0003472443,0.0002417329,0.0004417253,0.001217053,0.0004448647],"domain_scores_gemma":[0.9910975,0.001182137,0.0004324631,0.00246959,0.003745545,0.001072846],"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":[0.00006842267,0.00001323789,0.0001338602,0.0001323613,0.000006868428,0.00001433621,0.00005013358,0.00003613887,0.0001849884,0.000386353,0.9863603,0.01261303],"study_design_scores_gemma":[0.00004132941,0.00001581291,0.0007050621,0.0001048717,0.00000786941,0.0000351678,0.00004590714,0.0001387106,0.000974714,0.0006199664,0.9972638,0.00004681754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006036386,0.0005205452,0.01385754,0.001037447,0.001127407,0.0004704861,0.1413619,0.7222326,0.1187884],"genre_scores_gemma":[0.005479736,0.0007977608,0.01902233,0.002108736,0.0005687432,0.001210453,0.2747952,0.4966089,0.1994082],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5882045,"threshold_uncertainty_score":0.5873763,"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."}}