{"id":"W6930728929","doi":"10.5281/zenodo.14597131","title":"Cremnomymar sagittifer","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Holotype; Power (physics); Term (time)","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":[0.0001285546,0.0003498791,0.0002527461,0.001225217,0.0009387401,0.0002063441,0.0004783246,0.0003847094,0.01065379],"category_scores_gemma":[0.0002876085,0.0001120887,0.00009247781,0.0008096305,0.0004270506,0.0005544567,0.0006565396,0.0003068185,0.003560206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004847862,"about_ca_system_score_gemma":0.000250073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610223,"about_ca_topic_score_gemma":0.04126408,"domain_scores_codex":[0.9998939,0.000009394068,0.000006808516,0.00003823476,0.00003140394,0.00002033941],"domain_scores_gemma":[0.9998503,0.00001832478,0.00005373517,0.00001479237,0.0000463272,0.00001649676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006990475,0.0001945672,0.06968171,0.0009378228,0.00007001721,0.004765542,0.00472579,0.0007238879,0.1312231,0.00479314,0.03543165,0.7467538],"study_design_scores_gemma":[0.00005970047,0.0004859582,0.6125143,0.0005118328,0.00008792272,0.01123236,0.004541391,0.0003758581,0.007954455,0.001289183,0.3609098,0.00003721019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7303054,0.004520178,0.00283001,0.0005792591,0.0001955894,0.0002504402,0.003691467,0.0005196168,0.2571079],"genre_scores_gemma":[0.9711354,0.0008083957,0.001481459,0.0004000606,0.00003218305,0.00009044244,0.001683157,0.00004008424,0.02432883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01610223,"threshold_uncertainty_score":0.03564048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341352605782196,"score_gpt":0.2926289287770291,"score_spread":0.2492154027192071,"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."}}