{"id":"W6948661187","doi":"10.48660/16060077","title":"Panel Discussion","year":2016,"lang":"en","type":"other","venue":"PIRSA","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Panel discussion; Panel data; Term (time); Government (linguistics)","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":[0.007243917,0.0005955774,0.0006279908,0.001446456,0.004300741,0.007709365,0.002226991,0.01366009,0.3301663],"category_scores_gemma":[0.02171905,0.000389832,0.001248893,0.001535083,0.00126983,0.003624138,0.00309882,0.00884274,0.113468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032562,"about_ca_system_score_gemma":0.008947146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05060865,"about_ca_topic_score_gemma":0.09948974,"domain_scores_codex":[0.996651,0.0004175542,0.0001407961,0.0005238432,0.001424586,0.0008422938],"domain_scores_gemma":[0.991269,0.002509032,0.0002491353,0.000564945,0.004161219,0.00124675],"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":[0.00002174758,0.00001050215,0.0002574075,0.00002364997,0.000001842117,0.00002605969,0.00003688157,0.0000290466,0.00003168493,0.005739371,0.9904241,0.003397743],"study_design_scores_gemma":[0.00002240069,0.000005236053,0.001305092,0.00009303396,0.00000499701,0.00001907791,0.000218889,0.00005029917,0.0000937748,0.002551225,0.9956247,0.00001129531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001799627,0.000560814,0.0009824677,0.1802704,0.02340675,0.0003631484,0.02202777,0.0003511038,0.7702379],"genre_scores_gemma":[0.006213269,0.000361777,0.0005653222,0.1655574,0.003433244,0.0005360904,0.003807657,0.0001936929,0.8193315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6698338,"threshold_uncertainty_score":0.9554365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452396291359078,"score_gpt":0.2060310997120648,"score_spread":0.191507136798474,"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."}}