{"id":"W6945609962","doi":"10.25625/xn7lqy/bihakw","title":"functions.r","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.002803697,0.00406886,0.003292475,0.004869009,0.001292369,0.005525302,0.005550999,0.002014165,0.4300784],"category_scores_gemma":[0.01523346,0.001686723,0.002369816,0.007461434,0.0008736911,0.003577534,0.003778751,0.003127305,0.556324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552899,"about_ca_system_score_gemma":0.002791922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157459,"about_ca_topic_score_gemma":0.01558453,"domain_scores_codex":[0.9977448,0.000450995,0.000212341,0.0009118963,0.0003665797,0.0003134488],"domain_scores_gemma":[0.994684,0.002136847,0.0003121644,0.001802393,0.0007034055,0.0003611901],"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":[0.00003915119,0.000007572928,0.0001819128,0.0006038466,0.00003474058,0.000009766994,0.00001803623,0.0001795878,0.00006719588,0.0009514514,0.9954358,0.002470972],"study_design_scores_gemma":[0.0001794053,0.00001245094,0.0008415108,0.0002750649,0.00003654098,0.00003766806,0.00002807988,0.0003434302,0.0002814547,0.006526937,0.9914036,0.00003383351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00004665415,0.00008949448,0.0005896161,0.00008703244,0.00002650502,0.00001938599,0.9904191,0.005926364,0.00279592],"genre_scores_gemma":[0.0005540482,0.0001677058,0.002204835,0.0001967948,0.00002084119,0.0002457685,0.9882991,0.005353846,0.002957023],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5699216,"threshold_uncertainty_score":0.8129239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2338639266806609,"score_gpt":0.3370009303588649,"score_spread":0.103137003678204,"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."}}