{"id":"W4399003954","doi":"10.7910/dvn/u2hvb6/bs6e2k","title":"A__1__20170511_003856.wav","year":2019,"lang":"hi","type":"dataset","venue":"Harvard Dataverse","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Liana; Replication (statistics); Abundance (ecology); Tropical and subtropical dry broadleaf forests; Geography; Biology; Ecology; Forestry; Virology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001318266,0.002604227,0.0021001,0.00710558,0.0009949924,0.004667869,0.003597682,0.002186214,0.4143518],"category_scores_gemma":[0.01032283,0.001116861,0.001163675,0.01417734,0.0005733662,0.002961152,0.003619702,0.001586318,0.4247275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621541,"about_ca_system_score_gemma":0.00275615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246853,"about_ca_topic_score_gemma":0.03500954,"domain_scores_codex":[0.9988616,0.0001975135,0.0001333403,0.0003585528,0.0002342006,0.0002148162],"domain_scores_gemma":[0.9960163,0.001225677,0.000449133,0.0009176514,0.0008298215,0.0005612975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003173889,0.000004895247,0.0002740245,0.0004883329,0.00001920072,0.000005232954,0.00001273666,0.00006234046,0.00003946813,0.0003852478,0.9973404,0.001336416],"study_design_scores_gemma":[0.0001211029,0.000007795249,0.001410349,0.0003256978,0.00002348658,0.00001312472,0.00003511332,0.00008702423,0.0001495694,0.001216492,0.9965873,0.0000229135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000157399,0.00004158512,0.00002829947,0.00003671449,0.00001154035,0.000003158882,0.9985937,0.0003523087,0.0009168168],"genre_scores_gemma":[0.0002510193,0.00008946607,0.0001451069,0.00008001475,0.00001189411,0.00005679124,0.9976419,0.000354045,0.001369752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5856482,"threshold_uncertainty_score":0.8353561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707935328736783,"score_gpt":0.2491945888216004,"score_spread":0.2221152355342326,"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."}}