{"id":"W4398956588","doi":"10.7910/dvn/u2hvb6/l6176q","title":"A__1__20170511_080956.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":[0.001258671,0.002523829,0.002080176,0.006965012,0.0009675067,0.004676722,0.003580105,0.002073137,0.4138168],"category_scores_gemma":[0.01018077,0.001106916,0.001135045,0.01457419,0.0005574828,0.002990336,0.003562474,0.001589798,0.4195524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605619,"about_ca_system_score_gemma":0.002774357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02646383,"about_ca_topic_score_gemma":0.03603318,"domain_scores_codex":[0.9989017,0.0001839417,0.0001338821,0.0003450039,0.0002249716,0.0002105267],"domain_scores_gemma":[0.996126,0.001157871,0.0004488099,0.0009025035,0.0008229579,0.0005418187],"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":[0.00003169283,0.000004614022,0.0002733071,0.0004747224,0.00001923821,0.000005280366,0.00001270289,0.00005934585,0.00003862559,0.0004026365,0.9973284,0.001349386],"study_design_scores_gemma":[0.0001121954,0.000007204316,0.001443611,0.0003287956,0.00002340614,0.00001280446,0.00003498364,0.00008063687,0.0001523826,0.001237364,0.9965438,0.00002280096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000148837,0.00003831061,0.0000271296,0.00003475974,0.00001137957,0.000003009558,0.9986296,0.0003309743,0.0009100336],"genre_scores_gemma":[0.000251051,0.00008712964,0.0001376432,0.00007664096,0.00001151272,0.00005525371,0.9976478,0.000347873,0.001385072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5861832,"threshold_uncertainty_score":0.8361191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272349468012639,"score_gpt":0.2493955341557203,"score_spread":0.2221605873544564,"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."}}