{"id":"W6912496814","doi":"10.5281/zenodo.5185042","title":"Macrodactylus nigrinus Philippi 1864","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Confusion; Type locality; Range (aeronautics); Type (biology); Taxonomy (biology)","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":[0.0001633113,0.0008549478,0.000244952,0.002564092,0.0007183744,0.0003171285,0.001099837,0.0003230731,0.01160209],"category_scores_gemma":[0.0003060586,0.000253643,0.0001465615,0.001559609,0.0009597072,0.001131482,0.001050927,0.0005929343,0.00538325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225248,"about_ca_system_score_gemma":0.0003491814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346843,"about_ca_topic_score_gemma":0.01019262,"domain_scores_codex":[0.9998512,0.00001917008,0.00001683485,0.00004002199,0.0000572907,0.00001547562],"domain_scores_gemma":[0.9997829,0.00001680655,0.0001146154,0.00001591148,0.00004475426,0.00002499883],"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":[0.0003891931,0.0001254563,0.09861295,0.002659733,0.0001736164,0.004530006,0.006149296,0.0008231842,0.02366626,0.003614488,0.05429001,0.8049659],"study_design_scores_gemma":[0.00004432287,0.0004500358,0.4568363,0.00050984,0.0001142384,0.01644689,0.003173125,0.0009410051,0.005740981,0.001202194,0.5144655,0.00007561488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5259032,0.03644496,0.01535304,0.001931392,0.002218201,0.001469463,0.009885707,0.003629976,0.403164],"genre_scores_gemma":[0.9559305,0.007962391,0.007972489,0.0004181339,0.0005115528,0.0003547448,0.002721591,0.0001621035,0.02396656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160209,"threshold_uncertainty_score":0.03881282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744818935226315,"score_gpt":0.2166556169964806,"score_spread":0.1892074276442174,"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."}}