{"id":"W6950276825","doi":"10.5281/zenodo.5150903","title":"Callimoxys sanguinicollis","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Legislation; Geologist; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001140259,0.0005058113,0.0002015016,0.001424121,0.0008924259,0.000346426,0.0003970244,0.0003079183,0.007174691],"category_scores_gemma":[0.0002395217,0.00008568884,0.0001061827,0.0006233649,0.0005312321,0.0004480567,0.0009577186,0.0001998743,0.001274885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005915305,"about_ca_system_score_gemma":0.0001828233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03006447,"about_ca_topic_score_gemma":0.06428245,"domain_scores_codex":[0.9998944,0.000009755526,0.000006849582,0.00003745004,0.00003361629,0.00001799934],"domain_scores_gemma":[0.9999253,0.0000140923,0.00002011735,0.000007807602,0.00001512096,0.00001750835],"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":[0.0009653766,0.0002549687,0.1434263,0.001158022,0.0001410029,0.004522567,0.005329771,0.00179901,0.1994487,0.009233324,0.01796705,0.6157541],"study_design_scores_gemma":[0.00008413054,0.0003359679,0.7950317,0.0002925814,0.0002008427,0.004614213,0.002874497,0.001543038,0.008767026,0.002074387,0.1841156,0.0000660585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8479676,0.002946523,0.001745839,0.0002457844,0.00009624559,0.00008854087,0.001350207,0.0004838886,0.1450754],"genre_scores_gemma":[0.9842123,0.0006175261,0.0006982858,0.0001841746,0.00002528307,0.00001966533,0.0007684488,0.00002091124,0.01345348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03006447,"threshold_uncertainty_score":0.05977893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067334899985145,"score_gpt":0.2192101114490364,"score_spread":0.188536762449185,"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."}}