{"id":"W6939743199","doi":"10.6084/m9.figshare.25971769.v1","title":"Additional file 2 of Prediction of subsequent fragility fractures: application of machine learning","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Fragility; Task (project management); Training set; Statistical learning; Feature (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197944,0.001185166,0.001261753,0.002236227,0.000537492,0.001688142,0.002069753,0.001634247,0.858825],"category_scores_gemma":[0.01918485,0.0006980468,0.001268675,0.002084443,0.0002352569,0.001195139,0.0009684266,0.0008483884,0.245343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733669,"about_ca_system_score_gemma":0.001253304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006589241,"about_ca_topic_score_gemma":0.01230534,"domain_scores_codex":[0.9994878,0.00009712879,0.0000803349,0.0001634388,0.000100829,0.000070537],"domain_scores_gemma":[0.9848726,0.01261576,0.0004470336,0.0006639503,0.001119961,0.0002806571],"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":[0.0004358529,0.0001805429,0.003699867,0.003894894,0.000109641,0.0001332948,0.00006563429,0.002229473,0.0002079954,0.0008270913,0.9707395,0.01747623],"study_design_scores_gemma":[0.007840623,0.0005571176,0.04671001,0.00332158,0.0005522599,0.0009961387,0.0005190833,0.02418977,0.002581191,0.02559697,0.8867835,0.0003518183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003154246,0.00002927754,0.0005575168,0.0000563379,0.0000336903,0.00004944547,0.997425,0.0007400789,0.0007932928],"genre_scores_gemma":[0.01411544,0.0001866161,0.01092335,0.0004200223,0.0001173796,0.001200261,0.9612079,0.001874819,0.009954241],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.858825,"threshold_uncertainty_score":0.201369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552746707181309,"score_gpt":0.2192851459602895,"score_spread":0.2037576788884764,"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."}}