{"id":"W6912433410","doi":"10.5281/zenodo.3867548","title":"Allajulus groedensis","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Natural (archaeology); Moorland; Habitat","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":[0.0001143035,0.000587253,0.0002856179,0.001831247,0.001002509,0.0003729364,0.0004015499,0.000218126,0.01834293],"category_scores_gemma":[0.0002510908,0.0001721344,0.0002258998,0.00074424,0.0003193418,0.0007727031,0.0009196119,0.0003015769,0.004198425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523146,"about_ca_system_score_gemma":0.000203218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005181178,"about_ca_topic_score_gemma":0.01293868,"domain_scores_codex":[0.9998624,0.00001043697,0.000012087,0.00004424359,0.00004106245,0.00002966716],"domain_scores_gemma":[0.9998487,0.00002215397,0.00006458611,0.00001038141,0.00002415032,0.00002996012],"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":[0.0006341172,0.000300469,0.0491525,0.001413503,0.0001457365,0.002916857,0.0009414898,0.001136249,0.0797435,0.006250057,0.02021963,0.8371458],"study_design_scores_gemma":[0.00007530076,0.0004130238,0.6840063,0.0003331052,0.0001655664,0.007403022,0.001073513,0.0006999802,0.00680432,0.002176184,0.2967934,0.0000563547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4502409,0.00920804,0.00341588,0.0003311321,0.0004435119,0.000503697,0.009387911,0.001391492,0.5250774],"genre_scores_gemma":[0.9543115,0.002130644,0.004607751,0.000426912,0.0001271507,0.0001622815,0.005923541,0.00005530108,0.03225498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01834293,"threshold_uncertainty_score":0.06136328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05137036011737533,"score_gpt":0.2233758465441429,"score_spread":0.1720054864267676,"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."}}