{"id":"W6893799190","doi":"10.5281/zenodo.3867894","title":"Galliobates gracilis","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Cave; Gracilis muscle; Expressivity; Subaerial","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":[0.00008037246,0.0006044172,0.0001820839,0.00154358,0.0007349376,0.0002696758,0.0004854935,0.0005498056,0.02967085],"category_scores_gemma":[0.0003246719,0.0001539602,0.0002207025,0.0006681204,0.0004014781,0.0006131706,0.0007848989,0.0002868614,0.01272798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099112,"about_ca_system_score_gemma":0.0001411434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009801751,"about_ca_topic_score_gemma":0.0206092,"domain_scores_codex":[0.9999089,0.00001213595,0.000007792196,0.00002807748,0.00002685864,0.00001629105],"domain_scores_gemma":[0.9998782,0.00001757318,0.00004933054,0.00001250071,0.000021858,0.00002059676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000902374,0.00017184,0.0501828,0.001879035,0.0001137653,0.003691102,0.002877349,0.001467926,0.1193908,0.004910871,0.04260118,0.771811],"study_design_scores_gemma":[0.00007372583,0.0004558296,0.6859217,0.0004206536,0.0001035396,0.006816289,0.001373624,0.0006439758,0.004972713,0.0008577746,0.2983148,0.00004536108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4672149,0.01318596,0.00281207,0.0009505819,0.0006951121,0.0003981688,0.006766643,0.00159988,0.5063767],"genre_scores_gemma":[0.9488344,0.002350261,0.003056631,0.0006865857,0.00009590972,0.0001280151,0.003384038,0.00007069053,0.04139345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02967085,"threshold_uncertainty_score":0.09925896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08349688075118088,"score_gpt":0.2182639091383637,"score_spread":0.1347670283871828,"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."}}