{"id":"W7006991211","doi":"","title":"20170402 Windfall Spillway- Two Trucks, Geese,peepers","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dusk; Windfall gain; Field (mathematics); Truck; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002947556,0.0006664282,0.0003641401,0.00113851,0.001372025,0.001358294,0.000765592,0.0005469423,0.5981508],"category_scores_gemma":[0.0009112951,0.000407137,0.0002534339,0.001543374,0.0002746161,0.0008115465,0.001213001,0.0006910642,0.3878877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260247,"about_ca_system_score_gemma":0.002828375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185858,"about_ca_topic_score_gemma":0.3678617,"domain_scores_codex":[0.9997007,0.00001966474,0.00001500474,0.00004366352,0.000153415,0.00006769422],"domain_scores_gemma":[0.9989671,0.00007019989,0.00004354123,0.00009929678,0.0006048639,0.0002150309],"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":[0.00007493694,0.00003030516,0.000798784,0.00007269422,0.000001874818,0.00004702542,0.00004969329,0.00003966147,0.0003084228,0.000354387,0.9687672,0.02945503],"study_design_scores_gemma":[0.00001136225,0.00001459052,0.005382656,0.00005812489,0.000001856565,0.00002247664,0.0001815558,0.00007896266,0.000335371,0.0001175274,0.9937888,0.000006724903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004309127,0.0003836057,0.000735333,0.000597681,0.0008495805,0.0002552731,0.124219,0.001579755,0.8670707],"genre_scores_gemma":[0.004275272,0.0002787859,0.0004637143,0.0001094141,0.00005406533,0.00006049218,0.04026371,0.0006573503,0.9538373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4018492,"threshold_uncertainty_score":0.573189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008249635502683903,"score_gpt":0.2118729109594229,"score_spread":0.203623275456739,"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."}}