{"id":"W6950671480","doi":"10.5683/sp2/u3qsds","title":"Perrenoud Homestead -- Cochrane -- Laser Scanning -- July 25 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":"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":[0.001333934,0.002486724,0.001398859,0.00253141,0.0008377595,0.001963225,0.002523922,0.00217903,0.02392144],"category_scores_gemma":[0.005893105,0.0005645628,0.001350173,0.003394211,0.0007490281,0.001206752,0.0018481,0.001184876,0.05832981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421427,"about_ca_system_score_gemma":0.002040754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03997068,"about_ca_topic_score_gemma":0.1089331,"domain_scores_codex":[0.9985551,0.0002723639,0.0001141687,0.0004046823,0.000450347,0.0002034058],"domain_scores_gemma":[0.9976667,0.0005381586,0.0002164661,0.0006587972,0.0007482909,0.0001715469],"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":[0.0002136684,0.0000366506,0.001913347,0.0005916286,0.00004641092,0.00005151295,0.00004178443,0.0004834526,0.0002031209,0.0003020161,0.9901479,0.005968585],"study_design_scores_gemma":[0.0001821865,0.00006501019,0.01293828,0.0004389762,0.00005150813,0.0002450197,0.0002195827,0.001169119,0.001320991,0.00145201,0.9818288,0.00008843846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001520336,0.0006572811,0.0003624783,0.0001847073,0.0001200015,0.0000345579,0.9924541,0.002054568,0.00261201],"genre_scores_gemma":[0.002165066,0.0001533142,0.0006945115,0.00006851765,0.00002312077,0.00006593245,0.9951319,0.0002231389,0.001474559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9600293,"threshold_uncertainty_score":0.08002514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279633663514083,"score_gpt":0.3107986043443852,"score_spread":0.2828352379929769,"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."}}