{"id":"W4394344817","doi":"10.6084/m9.figshare.21476889","title":"Dataset - supplementary material 2","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Computer science","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":[0.001594459,0.001297727,0.001199386,0.002671039,0.0008227214,0.002089251,0.002053212,0.001716236,0.2343758],"category_scores_gemma":[0.01215832,0.0005768759,0.001176126,0.004988924,0.0003085921,0.001086078,0.001386825,0.001755946,0.1198364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283183,"about_ca_system_score_gemma":0.002380506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921473,"about_ca_topic_score_gemma":0.0372031,"domain_scores_codex":[0.9987677,0.0002600438,0.0002002593,0.0004191614,0.0002030367,0.0001498106],"domain_scores_gemma":[0.9952332,0.002351723,0.0004153428,0.0006842988,0.001052948,0.0002623896],"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":[0.00006780891,0.00002364117,0.001565574,0.0008781598,0.00005509525,0.00001829334,0.00001923146,0.000391029,0.00006565738,0.0005364902,0.9943665,0.002012615],"study_design_scores_gemma":[0.0005579519,0.0000357982,0.009445694,0.0005679132,0.00009684578,0.00008020883,0.0001105673,0.0006604192,0.0002044524,0.003316629,0.9848832,0.00004025249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005645737,0.00001970564,0.00004137105,0.00002798051,0.000008927462,0.00001007693,0.9995393,0.00005689995,0.0002394205],"genre_scores_gemma":[0.000470462,0.0000301112,0.0003862557,0.00006342305,0.00000796224,0.0001808048,0.9981694,0.00006184736,0.0006297233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2343758,"threshold_uncertainty_score":0.7840653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160328905159135,"score_gpt":0.4307014912155702,"score_spread":0.3146686006996567,"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."}}