{"id":"W6931593871","doi":"10.5281/zenodo.6418756","title":"Molossus molossus","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snout; Dorsum; Skull; Desmodus rotundus; Subspecies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005491769,0.0001076706,0.0001892131,0.0002190486,0.0006454829,0.0004227048,0.000615183,0.00006017437,0.0388312],"category_scores_gemma":[0.00009624609,0.0001252571,0.00006395554,0.000347387,0.00006074357,0.0002153644,0.0003784869,0.0001769978,0.07339751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000878241,"about_ca_system_score_gemma":0.000001334076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004063379,"about_ca_topic_score_gemma":1.436564e-7,"domain_scores_codex":[0.998909,0.00001780782,0.0003156146,0.000376492,0.00007120999,0.0003098698],"domain_scores_gemma":[0.999139,0.000007689639,0.0001564057,0.0004623651,0.0001279062,0.000106625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001199992,0.0003514908,0.002872074,0.0001769911,0.0001868538,0.00003451638,0.001766702,0.001752896,0.0004543424,0.7272303,0.2236074,0.04144643],"study_design_scores_gemma":[0.000350451,0.0001241547,0.004504102,0.000008065455,0.000002622689,0.00002866602,0.00005923408,0.004492914,0.00004345378,0.00218927,0.9880258,0.0001712917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3766424,0.0003853754,0.001122663,0.0006491686,0.0003108472,0.0002983499,0.0002766384,0.0003159557,0.6199986],"genre_scores_gemma":[0.9917626,0.0001447072,0.00007756527,0.0001887522,0.0001085695,1.837872e-8,0.0003909361,0.0005678796,0.006758952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7644184,"threshold_uncertainty_score":0.9620475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783487071582888,"score_gpt":0.2106164188313363,"score_spread":0.1727815481155074,"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."}}