{"id":"W6912283522","doi":"10.5281/zenodo.3867607","title":"Dolichoiulus senilis","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Bark (sound); Distribution (mathematics); Moss; Vegetation (pathology); Sphagnum","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":[0.0001048626,0.0004342212,0.0001530706,0.001341599,0.0007463949,0.0001850847,0.0002831476,0.0001519968,0.0165209],"category_scores_gemma":[0.0001583738,0.0001165738,0.0001462042,0.0005359923,0.0003255022,0.0003942524,0.0007106714,0.0001741797,0.004004994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871474,"about_ca_system_score_gemma":0.0001810314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007127534,"about_ca_topic_score_gemma":0.01851424,"domain_scores_codex":[0.9999379,0.000006119796,0.000006944617,0.00001973321,0.00001508532,0.00001424129],"domain_scores_gemma":[0.9999158,0.000009744605,0.00003142863,0.000007953558,0.00001543565,0.00001966374],"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":[0.000619533,0.0002920849,0.1930246,0.001226507,0.0001176203,0.002425614,0.001586755,0.001294504,0.1024702,0.003062526,0.01583819,0.6780419],"study_design_scores_gemma":[0.00005181153,0.0004087728,0.8609408,0.0001795338,0.00006768203,0.006316564,0.001348283,0.0005307403,0.007955021,0.001069909,0.1210999,0.00003113366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447472,0.00344963,0.001715799,0.00016421,0.00008231516,0.0001934252,0.005258578,0.0005662013,0.2438226],"genre_scores_gemma":[0.9755962,0.000873483,0.001500138,0.0001551668,0.0000290222,0.0000562799,0.003194296,0.00001923776,0.01857611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165209,"threshold_uncertainty_score":0.05526787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03649427841715996,"score_gpt":0.2551610567684969,"score_spread":0.2186667783513369,"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."}}