{"id":"W6969676522","doi":"10.5683/sp2/rbvhus","title":"Perrenoud Homestead -- Cochrane -- Laser Scanning -- July 20 2017","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser; Laser scanning; Data set; Data recording; Laser safety","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":[0.001002971,0.001963161,0.001148351,0.00198487,0.0007591387,0.001799078,0.002051407,0.001402167,0.01868219],"category_scores_gemma":[0.002724774,0.0005255901,0.00120661,0.002801147,0.0005523444,0.001131301,0.001516798,0.001071144,0.04447937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102572,"about_ca_system_score_gemma":0.001623464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04943023,"about_ca_topic_score_gemma":0.124734,"domain_scores_codex":[0.9990326,0.0001292506,0.0000626678,0.0002842474,0.0003211804,0.0001700515],"domain_scores_gemma":[0.9987714,0.000157533,0.0001026887,0.0004236921,0.0004373571,0.0001074264],"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":[0.0001687824,0.00003646607,0.002696421,0.0003869948,0.00004941016,0.0000352725,0.00004253678,0.0005188816,0.0003611093,0.0003066719,0.9900669,0.005330667],"study_design_scores_gemma":[0.0001551289,0.00003486839,0.01620163,0.0002015443,0.00003444258,0.00009995749,0.0001876111,0.001297479,0.00160376,0.0009587436,0.9791606,0.00006423696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001305044,0.0002264415,0.0002357731,0.00009884733,0.00008098449,0.00002134287,0.9939268,0.002212299,0.001892487],"genre_scores_gemma":[0.001677127,0.00005939515,0.0006041683,0.00003347541,0.00001520725,0.00003465599,0.9964762,0.0002085778,0.0008912668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04943023,"threshold_uncertainty_score":0.09828502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303175596162335,"score_gpt":0.2590321210134829,"score_spread":0.2460003650518595,"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."}}