{"id":"W6931353556","doi":"10.5281/zenodo.5500617","title":"charlotteamw/Refuge-Habitat-Model: RefugeModelCode","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Process (computing); Identification (biology); 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":[0.0007875139,0.00175724,0.0008746173,0.00135553,0.0008679834,0.001796936,0.003137488,0.001923113,0.4206952],"category_scores_gemma":[0.003142389,0.001189496,0.001343291,0.001746375,0.0003900472,0.002874344,0.002189315,0.001575231,0.2499714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197428,"about_ca_system_score_gemma":0.001711109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0282095,"about_ca_topic_score_gemma":0.03633184,"domain_scores_codex":[0.9996251,0.00005789613,0.00003051796,0.00008670962,0.0001172824,0.00008254794],"domain_scores_gemma":[0.9986786,0.0003628321,0.00008160091,0.0003555185,0.0002902529,0.0002312177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002592776,0.00008406503,0.002265845,0.0004180987,0.00003152755,0.0001193042,0.000135687,0.009369653,0.000846698,0.005085782,0.9580317,0.02335242],"study_design_scores_gemma":[0.0002616933,0.00003920632,0.001692528,0.0002291004,0.00002222103,0.0001215291,0.0001472132,0.01898602,0.001463135,0.005888788,0.9710435,0.0001050402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00502356,0.0001736001,0.0500532,0.0005918675,0.0004739262,0.0003962208,0.7834403,0.08799444,0.07185286],"genre_scores_gemma":[0.03321345,0.0004411952,0.04347032,0.000425041,0.00006440999,0.001523364,0.7807298,0.07607446,0.06405785],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4206952,"threshold_uncertainty_score":0.826308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521532686838558,"score_gpt":0.2858515570720403,"score_spread":0.2406362302036547,"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."}}