{"id":"W6950147327","doi":"10.5281/zenodo.3627272","title":"pitthsls/pycounter: 2.1.2","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College","funders":"","keywords":"Work (physics); Data collection; Identification (biology); Product (mathematics)","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":[0.0036916,0.00164412,0.001736006,0.009901648,0.0008669982,0.005488478,0.00302863,0.001482304,0.2937519],"category_scores_gemma":[0.02192834,0.001467494,0.001471812,0.01308736,0.0006254652,0.004696649,0.002915707,0.002204429,0.3168171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371196,"about_ca_system_score_gemma":0.004092399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008810326,"about_ca_topic_score_gemma":0.00555067,"domain_scores_codex":[0.9935557,0.001040162,0.0005649761,0.0009427243,0.003180677,0.0007156534],"domain_scores_gemma":[0.9895713,0.002946087,0.001200169,0.002231304,0.003322411,0.0007287242],"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":[0.0001478908,0.00002573917,0.001262535,0.0003030729,0.00002201164,0.00003506187,0.00005903386,0.0006660201,0.0002361156,0.003932393,0.9695501,0.02375988],"study_design_scores_gemma":[0.000143468,0.00003842163,0.003588312,0.0002184212,0.00003251839,0.0001552437,0.00008211277,0.004977198,0.002417071,0.008014904,0.9802518,0.00008055559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002549363,0.0002862967,0.02191826,0.0009828319,0.0003637078,0.0002163437,0.8283497,0.09101462,0.05431895],"genre_scores_gemma":[0.01315212,0.000468684,0.02486642,0.0004880715,0.0002785982,0.001131859,0.8243037,0.08284296,0.05246755],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2937519,"threshold_uncertainty_score":0.982698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05496772651966213,"score_gpt":0.2054152576184123,"score_spread":0.1504475310987502,"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."}}