{"id":"W6931697692","doi":"10.5281/zenodo.3793461","title":"Hydnobius substriatus LeConte 1863","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Nova scotia; Cape; National museum; Malaise; National monument","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00009425863,0.0004658725,0.0002501219,0.001190728,0.00200369,0.000620876,0.0003218284,0.0003564568,0.02115071],"category_scores_gemma":[0.0003537843,0.0002049756,0.0001226336,0.0009536003,0.0008144117,0.0005669127,0.0006392737,0.0005130899,0.005723808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446231,"about_ca_system_score_gemma":0.0007480565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1695367,"about_ca_topic_score_gemma":0.3981651,"domain_scores_codex":[0.9998547,0.000009831462,0.000008332895,0.00003705616,0.0000532031,0.00003692518],"domain_scores_gemma":[0.9998969,0.00001575828,0.00003511709,0.000008673631,0.00002746909,0.00001614389],"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":[0.0005250014,0.0001222311,0.1505646,0.0008128597,0.00008580422,0.001646379,0.003586351,0.001001845,0.01133293,0.009466465,0.1252915,0.695564],"study_design_scores_gemma":[0.00003043515,0.00008591511,0.3511204,0.0004170052,0.00005107818,0.001593042,0.001030012,0.0002401629,0.001054883,0.0005167581,0.6438392,0.0000212333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2529855,0.01777712,0.003271535,0.0009699677,0.0009421664,0.0003372001,0.009842982,0.0006349185,0.7132386],"genre_scores_gemma":[0.8708634,0.005070166,0.002589199,0.0008111855,0.0002238306,0.00009977719,0.005691021,0.00007172843,0.1145798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1695367,"threshold_uncertainty_score":0.3370997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382248601558775,"score_gpt":0.2156333640966167,"score_spread":0.171810878081029,"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."}}