{"id":"W6912962606","doi":"10.5683/sp2/nzuyaw","title":"Perrenoud Homestead -- Cochrane -- Laser Scanning -- Metadata -- July 26 2017","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Data set; Data element; Set (abstract data type); Laser scanning; Data recording","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":[0.001372996,0.00249292,0.001271891,0.002063835,0.001128841,0.001976537,0.002552167,0.001985542,0.02223863],"category_scores_gemma":[0.005204811,0.0005862548,0.00128891,0.002778888,0.0008158572,0.001634755,0.002338864,0.001506901,0.06537741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555357,"about_ca_system_score_gemma":0.001910751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05166931,"about_ca_topic_score_gemma":0.1365673,"domain_scores_codex":[0.9983322,0.0002554144,0.0001185611,0.0004493503,0.0006008478,0.0002435701],"domain_scores_gemma":[0.9975259,0.0003837603,0.00016497,0.0008655061,0.0008426249,0.0002173525],"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":[0.0001320142,0.00003745361,0.001780579,0.0002705261,0.00002426582,0.00003405033,0.00004597472,0.000399551,0.0002519934,0.0003320009,0.9910457,0.005645803],"study_design_scores_gemma":[0.0001398834,0.00005806961,0.01281815,0.0002426483,0.0000325128,0.0001856977,0.0002735328,0.001600527,0.001623385,0.00163296,0.9813067,0.00008598091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001520212,0.0003237582,0.00051701,0.0002110169,0.0001831377,0.00003984769,0.9895412,0.00406424,0.003599538],"genre_scores_gemma":[0.001788582,0.00006932965,0.0008231314,0.00006931087,0.00001914708,0.00005049899,0.9954931,0.0002186911,0.001468223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05166931,"threshold_uncertainty_score":0.1027371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822336085419079,"score_gpt":0.318324152088591,"score_spread":0.2801007912344002,"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."}}